diff --git a/.gitignore b/.gitignore
index 6e96d8144..79f7be6ad 100644
--- a/.gitignore
+++ b/.gitignore
@@ -128,3 +128,6 @@ target/
 
 # mkdocs intemediate files
 docs/generated
+
+docs/CONTRIBUTING.md
+docs/index.md
diff --git a/auto_doc.py b/auto_doc.py
index 1fd5b40f8..91d3f358d 100644
--- a/auto_doc.py
+++ b/auto_doc.py
@@ -19,6 +19,14 @@
 
 import keras_autodoc
 
+JSON_METHODS = [
+    "extract_fields_from_json",
+    "from_json",
+    "from_response_json",
+    "json",
+    "update_from_response_json",
+]
+
 PAGES = {
     "api/login.md": {
         "login": ["hopsworks.login"],
@@ -181,18 +189,509 @@
             "hopsworks.core.opensearch_api.OpenSearchApi"
         ),
     },
+    "api/connection_api.md": {
+        "connection": ["hsfs.connection.Connection"],
+        "connection_properties": keras_autodoc.get_properties(
+            "hsfs.connection.Connection"
+        ),
+        "connection_methods": keras_autodoc.get_methods("hsfs.connection.Connection"),
+    },
+    "api/spine_group_api.md": {
+        "fg": ["hsfs.feature_group.SpineGroup"],
+        "fg_create": ["hsfs.feature_store.FeatureStore.get_or_create_spine_group"],
+        "fg_get": ["hsfs.feature_store.FeatureStore.get_or_create_spine_group"],
+        "fg_properties": keras_autodoc.get_properties(
+            "hsfs.feature_group.SpineGroup",
+            exclude=[
+                "expectation_suite",
+                "location",
+                "online_enabled",
+                "statistics",
+                "statistics_config",
+                "subject",
+            ],
+        ),
+        "fg_methods": keras_autodoc.get_methods(
+            "hsfs.feature_group.SpineGroup",
+            exclude=[
+                "append_features",
+                "compute_statistics",
+                "delete_expectation_suite",
+                "from_response_json",
+                "get_all_validation_reports",
+                "get_expectation_suite",
+                "get_latest_validation_report",
+                "get_statistics",
+                "get_validation_history",
+                "save_expectation_suite",
+                "save_validation_report",
+                "update_from_response_json",
+                "update_statistics_config",
+                "validate",
+            ],
+        ),
+    },
+    "api/training_dataset_api.md": {
+        "td": ["hsfs.training_dataset.TrainingDataset"],
+        "td_create": ["hsfs.feature_store.FeatureStore.create_training_dataset"],
+        "td_get": ["hsfs.feature_store.FeatureStore.get_training_dataset"],
+        "td_properties": keras_autodoc.get_properties(
+            "hsfs.training_dataset.TrainingDataset"
+        ),
+        "td_methods": keras_autodoc.get_methods(
+            "hsfs.training_dataset.TrainingDataset"
+        ),
+    },
+    "api/feature_view_api.md": {
+        "fv": ["hsfs.feature_view.FeatureView"],
+        "fv_create": ["hsfs.feature_store.FeatureStore.create_feature_view"],
+        "fv_get": ["hsfs.feature_store.FeatureStore.get_feature_view"],
+        "fvs_get": ["hsfs.feature_store.FeatureStore.get_feature_views"],
+        "fv_properties": keras_autodoc.get_properties("hsfs.feature_view.FeatureView"),
+        "fv_methods": keras_autodoc.get_methods("hsfs.feature_view.FeatureView"),
+    },
+    "api/feature_api.md": {
+        "feature": ["hsfs.feature.Feature"],
+        "feature_properties": keras_autodoc.get_properties("hsfs.feature.Feature"),
+        "feature_methods": keras_autodoc.get_methods("hsfs.feature.Feature"),
+    },
+    "api/expectation_suite_api.md": {
+        "expectation_suite": ["hsfs.expectation_suite.ExpectationSuite"],
+        "expectation_suite_attach": [
+            "hsfs.feature_group.FeatureGroup.save_expectation_suite"
+        ],
+        "single_expectation_api": [
+            "hsfs.expectation_suite.ExpectationSuite.add_expectation",
+            "hsfs.expectation_suite.ExpectationSuite.replace_expectation",
+            "hsfs.expectation_suite.ExpectationSuite.remove_expectation",
+        ],
+        "expectation_suite_properties": keras_autodoc.get_properties(
+            "hsfs.expectation_suite.ExpectationSuite"
+        ),
+        "expectation_suite_methods": keras_autodoc.get_methods(
+            "hsfs.expectation_suite.ExpectationSuite"
+        ),
+    },
+    "api/feature_store_api.md": {
+        "fs": ["hsfs.feature_store.FeatureStore"],
+        "fs_get": ["hsfs.connection.Connection.get_feature_store"],
+        "fs_properties": keras_autodoc.get_properties(
+            "hsfs.feature_store.FeatureStore"
+        ),
+        "fs_methods": keras_autodoc.get_methods("hsfs.feature_store.FeatureStore"),
+    },
+    "api/feature_group_api.md": {
+        "fg": ["hsfs.feature_group.FeatureGroup"],
+        "fg_create": [
+            "hsfs.feature_store.FeatureStore.create_feature_group",
+            "hsfs.feature_store.FeatureStore.get_or_create_feature_group",
+        ],
+        "fg_get": ["hsfs.feature_store.FeatureStore.get_feature_group"],
+        "fg_properties": keras_autodoc.get_properties(
+            "hsfs.feature_group.FeatureGroup"
+        ),
+        "fg_methods": keras_autodoc.get_methods("hsfs.feature_group.FeatureGroup"),
+    },
+    "api/external_feature_group_api.md": {
+        "fg": ["hsfs.feature_group.ExternalFeatureGroup"],
+        "fg_create": ["hsfs.feature_store.FeatureStore.create_external_feature_group"],
+        "fg_get": ["hsfs.feature_store.FeatureStore.get_external_feature_group"],
+        "fg_properties": keras_autodoc.get_properties(
+            "hsfs.feature_group.ExternalFeatureGroup"
+        ),
+        "fg_methods": keras_autodoc.get_methods(
+            "hsfs.feature_group.ExternalFeatureGroup"
+        ),
+    },
+    "api/storage_connector_api.md": {
+        "sc_get": [
+            "hsfs.feature_store.FeatureStore.get_storage_connector",
+            "hsfs.feature_store.FeatureStore.get_online_storage_connector",
+        ],
+        "hopsfs_methods": keras_autodoc.get_methods(
+            "hsfs.storage_connector.HopsFSConnector", exclude=["from_response_json"]
+        ),
+        "hopsfs_properties": keras_autodoc.get_properties(
+            "hsfs.storage_connector.HopsFSConnector"
+        ),
+        "s3_methods": keras_autodoc.get_methods(
+            "hsfs.storage_connector.S3Connector", exclude=["from_response_json"]
+        ),
+        "s3_properties": keras_autodoc.get_properties(
+            "hsfs.storage_connector.S3Connector"
+        ),
+        "redshift_methods": keras_autodoc.get_methods(
+            "hsfs.storage_connector.RedshiftConnector", exclude=["from_response_json"]
+        ),
+        "redshift_properties": keras_autodoc.get_properties(
+            "hsfs.storage_connector.RedshiftConnector"
+        ),
+        "adls_methods": keras_autodoc.get_methods(
+            "hsfs.storage_connector.AdlsConnector", exclude=["from_response_json"]
+        ),
+        "adls_properties": keras_autodoc.get_properties(
+            "hsfs.storage_connector.AdlsConnector"
+        ),
+        "snowflake_methods": keras_autodoc.get_methods(
+            "hsfs.storage_connector.SnowflakeConnector", exclude=["from_response_json"]
+        ),
+        "snowflake_properties": keras_autodoc.get_properties(
+            "hsfs.storage_connector.SnowflakeConnector"
+        ),
+        "jdbc_methods": keras_autodoc.get_methods(
+            "hsfs.storage_connector.JdbcConnector", exclude=["from_response_json"]
+        ),
+        "jdbc_properties": keras_autodoc.get_properties(
+            "hsfs.storage_connector.JdbcConnector"
+        ),
+        "gcs_methods": keras_autodoc.get_methods(
+            "hsfs.storage_connector.GcsConnector", exclude=["from_response_json"]
+        ),
+        "gcs_properties": keras_autodoc.get_properties(
+            "hsfs.storage_connector.GcsConnector"
+        ),
+        "bigquery_methods": keras_autodoc.get_methods(
+            "hsfs.storage_connector.BigQueryConnector", exclude=["from_response_json"]
+        ),
+        "bigquery_properties": keras_autodoc.get_properties(
+            "hsfs.storage_connector.BigQueryConnector"
+        ),
+        "kafka_methods": keras_autodoc.get_methods(
+            "hsfs.storage_connector.KafkaConnector", exclude=["from_response_json"]
+        ),
+        "kafka_properties": keras_autodoc.get_properties(
+            "hsfs.storage_connector.KafkaConnector"
+        ),
+    },
+    "api/statistics_config_api.md": {
+        "statistics_config": ["hsfs.statistics_config.StatisticsConfig"],
+        "statistics_config_properties": keras_autodoc.get_properties(
+            "hsfs.statistics_config.StatisticsConfig"
+        ),
+    },
+    "api/transformation_functions_api.md": {
+        "transformation_function": [
+            "hsfs.transformation_function.TransformationFunction"
+        ],
+        "transformation_function_properties": keras_autodoc.get_properties(
+            "hsfs.transformation_function.TransformationFunction"
+        ),
+        "transformation_function_methods": keras_autodoc.get_methods(
+            "hsfs.transformation_function.TransformationFunction",
+            exclude=[
+                "from_response_json",
+                "update_from_response_json",
+                "json",
+                "to_dict",
+            ],
+        ),
+        "create_transformation_function": [
+            "hsfs.feature_store.FeatureStore.create_transformation_function"
+        ],
+        "get_transformation_function": [
+            "hsfs.feature_store.FeatureStore.get_transformation_function"
+        ],
+        "get_transformation_functions": [
+            "hsfs.feature_store.FeatureStore.get_transformation_functions"
+        ],
+    },
+    "api/validation_report_api.md": {
+        "validation_report": ["hsfs.validation_report.ValidationReport"],
+        "validation_report_validate": [
+            "hsfs.feature_group.FeatureGroup.validate",
+            "hsfs.feature_group.FeatureGroup.insert",
+        ],
+        "validation_report_get": [
+            "hsfs.feature_group.FeatureGroup.get_latest_validation_report",
+            "hsfs.feature_group.FeatureGroup.get_all_validation_reports",
+        ],
+        "validation_report_properties": keras_autodoc.get_properties(
+            "hsfs.validation_report.ValidationReport"
+        ),
+        "validation_report_methods": keras_autodoc.get_methods(
+            "hsfs.validation_report.ValidationReport"
+        ),
+    },
+    "api/job.md": {
+        "job_configuration": ["hsfs.core.job_configuration.JobConfiguration"],
+        "job": ["hsfs.core.job.Job"],
+        "job_methods": [
+            "hsfs.core.job.Job.get_state",
+            "hsfs.core.job.Job.get_final_state",
+        ],
+    },
+    "api/query_api.md": {
+        "query_methods": keras_autodoc.get_methods(
+            "hsfs.constructor.query.Query",
+            exclude=["json", "to_dict"],
+        ),
+        "query_properties": keras_autodoc.get_properties(
+            "hsfs.constructor.query.Query"
+        ),
+    },
+    "api/links.md": {
+        "links_properties": keras_autodoc.get_properties(
+            "hsfs.core.explicit_provenance.Links"
+        ),
+        "artifact_properties": keras_autodoc.get_properties(
+            "hsfs.core.explicit_provenance.Artifact"
+        ),
+    },
+    "api/statistics_api.md": {
+        "statistics": ["hsfs.statistics.Statistics"],
+        "statistics_properties": keras_autodoc.get_properties(
+            "hsfs.statistics.Statistics"
+        ),
+    },
+    "api/split_statistics_api.md": {
+        "split_statistics": ["hsfs.split_statistics.SplitStatistics"],
+        "split_statistics_properties": keras_autodoc.get_properties(
+            "hsfs.split_statistics.SplitStatistics"
+        ),
+    },
+    "api/feature_descriptive_statistics_api.md": {
+        "feature_descriptive_statistics": [
+            "hsfs.core.feature_descriptive_statistics.FeatureDescriptiveStatistics"
+        ],
+        "feature_descriptive_statistics_properties": keras_autodoc.get_properties(
+            "hsfs.core.feature_descriptive_statistics.FeatureDescriptiveStatistics"
+        ),
+    },
+    "api/feature_monitoring_config_api.md": {
+        "feature_monitoring_config": [
+            "hsfs.core.feature_monitoring_config.FeatureMonitoringConfig"
+        ],
+        "feature_monitoring_config_properties": keras_autodoc.get_properties(
+            "hsfs.core.feature_monitoring_config.FeatureMonitoringConfig"
+        ),
+        "feature_monitoring_config_methods": keras_autodoc.get_methods(
+            "hsfs.core.feature_monitoring_config.FeatureMonitoringConfig",
+            exclude=[
+                "from_response_json",
+                "update_from_response_json",
+                "json",
+                "to_dict",
+            ],
+        ),
+        # from feature group
+        "feature_monitoring_config_creation_fg": [
+            "hsfs.feature_group.FeatureGroup.create_statistics_monitoring",
+            "hsfs.feature_group.FeatureGroup.create_feature_monitoring",
+        ],
+        # from feature view
+        "feature_monitoring_config_creation_fv": [
+            "hsfs.feature_view.FeatureView.create_statistics_monitoring",
+            "hsfs.feature_view.FeatureView.create_feature_monitoring",
+        ],
+        # retrieval
+        "feature_monitoring_config_retrieval_fg": [
+            "hsfs.feature_group.FeatureGroup.get_feature_monitoring_configs",
+        ],
+        "feature_monitoring_config_retrieval_fv": [
+            "hsfs.feature_view.FeatureView.get_feature_monitoring_configs",
+        ],
+    },
+    "api/feature_monitoring_result_api.md": {
+        "feature_monitoring_result": [
+            "hsfs.core.feature_monitoring_result.FeatureMonitoringResult"
+        ],
+        "feature_monitoring_result_retrieval": [
+            "hsfs.core.feature_monitoring_config.FeatureMonitoringConfig.get_history"
+        ],
+        "feature_monitoring_result_properties": keras_autodoc.get_properties(
+            "hsfs.core.feature_monitoring_result.FeatureMonitoringResult"
+        ),
+    },
+    "api/feature_monitoring_window_config_api.md": {
+        "feature_monitoring_window_config": [
+            "hsfs.core.monitoring_window_config.MonitoringWindowConfig"
+        ],
+        "feature_monitoring_window_config_properties": keras_autodoc.get_properties(
+            "hsfs.core.monitoring_window_config.MonitoringWindowConfig"
+        ),
+    },
+    "api/embedding_index_api.md": {
+        "embedding_index": ["hsfs.embedding.EmbeddingIndex"],
+        "embedding_index_properties": keras_autodoc.get_properties(
+            "hsfs.embedding.EmbeddingIndex"
+        ),
+        "embedding_index_methods": keras_autodoc.get_methods(
+            "hsfs.embedding.EmbeddingIndex", exclude=["from_response_json"]
+        ),
+    },
+    "api/embedding_feature_api.md": {
+        "embedding_feature": ["hsfs.embedding.EmbeddingFeature"],
+        "embedding_feature_properties": keras_autodoc.get_properties(
+            "hsfs.embedding.EmbeddingFeature"
+        ),
+    },
+    "api/similarity_function_type_api.md": {
+        "similarity_function_type": ["hsfs.embedding.SimilarityFunctionType"],
+    },
+    # Model registry
+    "connection_api.md": {
+        "connection": ["hsml.connection.Connection"],
+        "connection_properties": keras_autodoc.get_properties(
+            "hsml.connection.Connection", exclude=["trust_store_path"]
+        ),
+        "connection_methods": keras_autodoc.get_methods("hsml.connection.Connection"),
+    },
+    "model-registry/model_registry_api.md": {
+        "mr_get": ["hsml.connection.Connection.get_model_registry"],
+        "mr_modules": keras_autodoc.get_properties(
+            "hsml.model_registry.ModelRegistry",
+            exclude=[
+                "project_id",
+                "project_name",
+                "model_registry_id",
+                "shared_registry_project_name",
+            ],
+        ),
+        "mr_properties": keras_autodoc.get_properties(
+            "hsml.model_registry.ModelRegistry",
+            exclude=[
+                "python",
+                "sklearn",
+                "tensorflow",
+                "torch",
+            ],
+        ),
+        "mr_methods": keras_autodoc.get_methods(
+            "hsml.model_registry.ModelRegistry", exclude=["from_response_json"]
+        ),
+    },
+    "model-registry/model_api.md": {
+        "ml_create_tf": ["hsml.model_registry.ModelRegistry.tensorflow.create_model"],
+        "ml_create_th": ["hsml.model_registry.ModelRegistry.torch.create_model"],
+        "ml_create_sl": ["hsml.model_registry.ModelRegistry.sklearn.create_model"],
+        "ml_create_py": ["hsml.model_registry.ModelRegistry.python.create_model"],
+        "ml_get": ["hsml.model_registry.ModelRegistry.get_model"],
+        "ml_properties": keras_autodoc.get_properties("hsml.model.Model"),
+        "ml_methods": keras_autodoc.get_methods(
+            "hsml.model.Model",
+            exclude=[
+                "from_response_json",
+                "json",
+                "to_dict",
+                "update_from_response_json",
+            ],
+        ),
+    },
+    "model-registry/model_schema.md": {},
+    "model-registry/model_schema_api.md": {
+        "schema": ["hsml.schema.Schema"],
+        "schema_dict": ["hsml.schema.Schema.to_dict"],
+        "model_schema": ["hsml.model_schema.ModelSchema"],
+        "model_schema_dict": ["hsml.model_schema.ModelSchema.to_dict"],
+    },
+    "model-registry/links.md": {
+        "links_properties": keras_autodoc.get_properties(
+            "hsml.core.explicit_provenance.Links"
+        ),
+        "artifact_properties": keras_autodoc.get_properties(
+            "hsml.core.explicit_provenance.Artifact"
+        ),
+    },
+    # Model Serving
+    "model-serving/model_serving_api.md": {
+        "ms_get": ["hsml.connection.Connection.get_model_serving"],
+        "ms_properties": keras_autodoc.get_properties(
+            "hsml.model_serving.ModelServing"
+        ),
+        "ms_methods": keras_autodoc.get_methods(
+            "hsml.model_serving.ModelServing", exclude=["from_response_json"]
+        ),
+    },
+    "model-serving/deployment_api.md": {
+        "ms_get_model_serving": ["hsml.connection.Connection.get_model_serving"],
+        "ms_get_deployments": [
+            "hsml.model_serving.ModelServing.get_deployment",
+            "hsml.model_serving.ModelServing.get_deployment_by_id",
+            "hsml.model_serving.ModelServing.get_deployments",
+        ],
+        "ms_create_deployment": ["hsml.model_serving.ModelServing.create_deployment"],
+        "m_deploy": ["hsml.model.Model.deploy"],
+        "p_deploy": ["hsml.predictor.Predictor.deploy"],
+        "dep_properties": keras_autodoc.get_properties("hsml.deployment.Deployment"),
+        "dep_methods": keras_autodoc.get_methods(
+            "hsml.deployment.Deployment", exclude=JSON_METHODS + ["from_predictor"]
+        ),
+    },
+    "model-serving/predictor_api.md": {
+        "ms_get_model_serving": ["hsml.connection.Connection.get_model_serving"],
+        "ms_create_predictor": ["hsml.model_serving.ModelServing.create_predictor"],
+        "pred_properties": keras_autodoc.get_properties("hsml.predictor.Predictor"),
+        "pred_methods": keras_autodoc.get_methods(
+            "hsml.predictor.Predictor",
+            exclude=JSON_METHODS + ["for_model"],
+        ),
+    },
+    "model-serving/transformer_api.md": {
+        "ms_get_model_serving": ["hsml.connection.Connection.get_model_serving"],
+        "ms_create_transformer": ["hsml.model_serving.ModelServing.create_transformer"],
+        "trans_properties": keras_autodoc.get_properties(
+            "hsml.transformer.Transformer"
+        ),
+        "trans_methods": keras_autodoc.get_methods(
+            "hsml.transformer.Transformer", exclude=JSON_METHODS
+        ),
+    },
+    "model-serving/inference_logger_api.md": {
+        "il": ["hsml.inference_logger.InferenceLogger"],
+        "il_properties": keras_autodoc.get_properties(
+            "hsml.inference_logger.InferenceLogger"
+        ),
+        "il_methods": keras_autodoc.get_methods(
+            "hsml.inference_logger.InferenceLogger", exclude=JSON_METHODS
+        ),
+    },
+    "model-serving/inference_batcher_api.md": {
+        "ib": ["hsml.inference_batcher.InferenceBatcher"],
+        "ib_properties": keras_autodoc.get_properties(
+            "hsml.inference_batcher.InferenceBatcher"
+        ),
+        "ib_methods": keras_autodoc.get_methods(
+            "hsml.inference_batcher.InferenceBatcher", exclude=JSON_METHODS
+        ),
+    },
+    "model-serving/resources_api.md": {
+        "res": ["hsml.resources.Resources"],
+        "res_properties": keras_autodoc.get_properties("hsml.resources.Resources"),
+        "res_methods": keras_autodoc.get_methods(
+            "hsml.resources.Resources", exclude=JSON_METHODS
+        ),
+    },
+    "model-serving/predictor_state_api.md": {
+        "ps_get": ["hsml.deployment.Deployment.get_state"],
+        "ps_properties": keras_autodoc.get_properties(
+            "hsml.predictor_state.PredictorState"
+        ),
+        "ps_methods": keras_autodoc.get_methods(
+            "hsml.predictor_state.PredictorState", exclude=JSON_METHODS
+        ),
+    },
+    "model-serving/predictor_state_condition_api.md": {
+        "psc_get": ["hsml.predictor_state.PredictorState.condition"],
+        "psc_properties": keras_autodoc.get_properties(
+            "hsml.predictor_state_condition.PredictorStateCondition"
+        ),
+        "psc_methods": keras_autodoc.get_methods(
+            "hsml.predictor_state_condition.PredictorStateCondition",
+            exclude=JSON_METHODS,
+        ),
+    },
 }
 
 hw_dir = pathlib.Path(__file__).resolve().parents[0]
 if "GITHUB_SHA" in os.environ:
     commit_sha = os.environ["GITHUB_SHA"]
     project_url = (
-        f"https://github.com/logicalclocks/feature-store-api/tree/{commit_sha}/python"
+        f"https://github.com/logicalclocks/hopsworks-api/tree/{commit_sha}/python"
     )
 else:
     branch_name = os.environ.get("GITHUB_BASE_REF", "master")
     project_url = (
-        f"https://github.com/logicalclocks/feature-store-api/blob/{branch_name}/python"
+        f"https://github.com/logicalclocks/hopsworks-api/blob/{branch_name}/python"
     )
 
 
@@ -202,7 +701,13 @@ def generate(dest_dir):
         project_url=project_url,
         template_dir="./docs/templates",
         titles_size="###",
-        extra_aliases={},
+        extra_aliases={
+            "hsfs.core.query.Query": "hsfs.Query",
+            "hsfs.storage_connector.StorageConnector": "hsfs.StorageConnector",
+            "hsfs.statistics_config.StatisticsConfig": "hsfs.StatisticsConfig",
+            "hsfs.training_dataset_feature.TrainingDatasetFeature": "hsfs.TrainingDatasetFeature",
+            "pandas.core.frame.DataFrame": "pandas.DataFrame",
+        },
         max_signature_line_length=100,
     )
     shutil.copyfile(hw_dir / "CONTRIBUTING.md", dest_dir / "CONTRIBUTING.md")
diff --git a/docs/CONTRIBUTING.md b/docs/CONTRIBUTING.md
deleted file mode 100644
index b97326e6f..000000000
--- a/docs/CONTRIBUTING.md
+++ /dev/null
@@ -1,215 +0,0 @@
-## Python development setup
----
-
-- Fork and clone the repository
-
-- Create a new Python environment with your favourite environment manager, e.g. virtualenv or conda
-
-- Install repository in editable mode with development dependencies:
-
-    ```bash
-    cd python
-    pip install -e ".[dev]"
-    ```
-
-- Install [pre-commit](https://pre-commit.com/) and then activate its hooks. pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. The Feature Store uses pre-commit to ensure code-style and code formatting through [ruff](https://docs.astral.sh/ruff/). Run the following commands from the `python` directory:
-
-  ```bash
-  cd python
-  pip install --user pre-commit
-  pre-commit install
-  ```
-
-  Afterwards, pre-commit will run whenever you commit.
-
-- To run formatting and code-style separately, you can configure your IDE, such as VSCode, to use `ruff`, or run it via the command line:
-
-  ```bash
-  # linting
-  ruff check python --fix
-  # formatting
-  ruff format python
-  ```
-
-### Python documentation
-
-We follow a few best practices for writing the Python documentation:
-
-1. Use the google docstring style:
-
-    ```python
-    """[One Line Summary]
-
-    [Extended Summary]
-
-    [!!! example
-        import xyz
-    ]
-
-    # Arguments
-        arg1: Type[, optional]. Description[, defaults to `default`]
-        arg2: Type[, optional]. Description[, defaults to `default`]
-
-    # Returns
-        Type. Description.
-
-    # Raises
-        Exception. Description.
-    """
-    ```
-
-    If Python 3 type annotations are used, they are inserted automatically.
-
-
-2. Hopsworks entity engine methods (e.g. ExecutionEngine etc.) only require a single line docstring.
-3. Private REST Api implementations (e.g. GitRemoteApi etc.) should be fully documented with docstrings without defaults.
-4. Public Api such as metadata objects and public REST Api implementations should be fully documented with defaults.
-
-#### Setup and Build Documentation
-
-We use `mkdocs` together with `mike` ([for versioning](https://github.com/jimporter/mike/)) to build the documentation and a plugin called `keras-autodoc` to auto generate Python API documentation from docstrings.
-
-**Background about `mike`:**
-    `mike` builds the documentation and commits it as a new directory to the gh-pages branch. Each directory corresponds to one version of the documentation. Additionally, `mike` maintains a json in the root of gh-pages with the mappings of versions/aliases for each of the directories available. With aliases you can define extra names like `dev` or `latest`, to indicate stable and unstable releases.
-
-1. Currently we are using our own version of `keras-autodoc`
-
-    ```bash
-    pip install git+https://github.com/logicalclocks/keras-autodoc
-    ```
-
-2. Install HOPSWORKS with `docs` extras:
-
-    ```bash
-    pip install -e .[dev,docs]
-    ```
-
-3. To build the docs, first run the auto doc script:
-
-    ```bash
-    cd ..
-    python auto_doc.py
-    ```
-
-##### Option 1: Build only current version of docs
-
-4. Either build the docs, or serve them dynamically:
-
-    Note: Links and pictures might not resolve properly later on when checking with this build.
-    The reason for that is that the docs are deployed with versioning on docs.hopsworks.ai and
-    therefore another level is added to all paths, e.g. `docs.hopsworks.ai/[version-or-alias]`.
-    Using relative links should not be affected by this, however, building the docs with version
-    (Option 2) is recommended.
-
-    ```bash
-    mkdocs build
-    # or
-    mkdocs serve
-    ```
-
-##### Option 2 (Preferred): Build multi-version doc with `mike`
-
-###### Versioning on docs.hopsworks.ai
-
-On docs.hopsworks.ai we implement the following versioning scheme:
-
-- current master branches (e.g. of hopsworks corresponding to master of Hopsworks): rendered as current Hopsworks snapshot version, e.g. **3.1.0-SNAPSHOT [dev]**, where `dev` is an alias to indicate that this is an unstable version.
-- the latest release: rendered with full current version, e.g. **3.0.1 [latest]** with `latest` alias to indicate that this is the latest stable release.
-- previous stable releases: rendered without alias, e.g. **3.0.0**.
-
-###### Build Instructions
-
-4. For this you can either checkout and make a local copy of the `upstream/gh-pages` branch, where
-`mike` maintains the current state of docs.hopsworks.ai, or just build documentation for the branch you are updating:
-
-    Building *one* branch:
-
-    Checkout your dev branch with modified docs:
-    ```bash
-    git checkout [dev-branch]
-    ```
-
-    Generate API docs if necessary:
-    ```bash
-    python auto_doc.py
-    ```
-
-    Build docs with a version and alias
-    ```bash
-    mike deploy [version] [alias] --update-alias
-
-    # for example, if you are updating documentation to be merged to master,
-    # which will become the new SNAPSHOT version:
-    mike deploy 3.1.0-SNAPSHOT dev --update-alias
-
-    # if you are updating docs of the latest stable release branch
-    mike deploy [version] latest --update-alias
-
-    # if you are updating docs of a previous stable release branch
-    mike deploy [version]
-    ```
-
-    If no gh-pages branch existed in your local repository, this will have created it.
-
-    **Important**: If no previous docs were built, you will have to choose a version as default to be loaded as index, as follows
-
-    ```bash
-    mike set-default [version-or-alias]
-    ```
-
-    You can now checkout the gh-pages branch and serve:
-    ```bash
-    git checkout gh-pages
-    mike serve
-    ```
-
-    You can also list all available versions/aliases:
-    ```bash
-    mike list
-    ```
-
-    Delete and reset your local gh-pages branch:
-    ```bash
-    mike delete --all
-
-    # or delete single version
-    mike delete [version-or-alias]
-    ```
-
-#### Adding new API documentation
-
-To add new documentation for APIs, you need to add information about the method/class to document to the `auto_doc.py` script:
-
-```python
-PAGES = {
-    "connection.md": [
-        "hopsworks.connection.Connection.connection"
-    ]
-    "new_template.md": [
-            "module",
-            "xyz.asd"
-    ]
-}
-```
-
-Now you can add a template markdown file to the `docs/templates` directory with the name you specified in the auto-doc script. The `new_template.md` file should contain a tag to identify the place at which the API documentation should be inserted:
-
-```
-## The XYZ package
-
-{{module}}
-
-Some extra content here.
-
-!!! example
-    ```python
-    import xyz
-    ```
-
-{{xyz.asd}}
-```
-
-Finally, run the `auto_doc.py` script, as decribed above, to update the documentation.
-
-For information about Markdown syntax and possible Admonitions/Highlighting etc. see
-the [Material for Mkdocs themes reference documentation](https://squidfunk.github.io/mkdocs-material/reference/abbreviations/).
diff --git a/hsfs/docs/assets/images/hopsworks-logo.png b/docs/assets/images/hopsworks-logo.png
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diff --git a/hsfs/docs/templates/api/feature_api.md b/docs/templates/api/feature_api.md
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diff --git a/hsfs/docs/templates/api/feature_monitoring_config_api.md b/docs/templates/api/feature_monitoring_config_api.md
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diff --git a/hsfs/docs/templates/api/feature_monitoring_result_api.md b/docs/templates/api/feature_monitoring_result_api.md
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diff --git a/hsfs/docs/templates/api/feature_store_api.md b/docs/templates/api/feature_store_api.md
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diff --git a/hsfs/docs/templates/api/feature_view_api.md b/docs/templates/api/feature_view_api.md
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diff --git a/hsfs/docs/templates/api/job.md b/docs/templates/api/job.md
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diff --git a/hsfs/docs/templates/api/links.md b/docs/templates/api/links.md
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diff --git a/hsfs/docs/templates/api/query_api.md b/docs/templates/api/query_api.md
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diff --git a/hsfs/docs/templates/api/rule_api.md b/docs/templates/api/rule_api.md
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diff --git a/hsfs/docs/templates/api/rule_definition_api.md b/docs/templates/api/rule_definition_api.md
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diff --git a/hsfs/docs/templates/api/similarity_function_type_api.md b/docs/templates/api/similarity_function_type_api.md
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diff --git a/hsfs/docs/templates/api/spine_group_api.md b/docs/templates/api/spine_group_api.md
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diff --git a/hsfs/docs/templates/api/split_statistics_api.md b/docs/templates/api/split_statistics_api.md
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diff --git a/hsfs/docs/templates/api/statistics_api.md b/docs/templates/api/statistics_api.md
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diff --git a/hsfs/docs/templates/api/statistics_config_api.md b/docs/templates/api/statistics_config_api.md
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diff --git a/hsfs/docs/templates/api/training_dataset_api.md b/docs/templates/api/training_dataset_api.md
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diff --git a/hsfs/docs/templates/api/transformation_functions_api.md b/docs/templates/api/transformation_functions_api.md
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diff --git a/hsfs/docs/templates/api/validation_api.md b/docs/templates/api/validation_api.md
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diff --git a/hsfs/docs/templates/api/validation_report_api.md b/docs/templates/api/validation_report_api.md
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diff --git a/hsml/docs/templates/connection_api.md b/docs/templates/connection_api.md
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diff --git a/hsml/docs/templates/model-registry/links.md b/docs/templates/model-registry/links.md
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diff --git a/hsml/docs/templates/model-registry/model_schema_api.md b/docs/templates/model-registry/model_schema_api.md
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diff --git a/hsml/docs/templates/model-serving/deployment_api.md b/docs/templates/model-serving/deployment_api.md
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diff --git a/hsml/docs/templates/model-serving/inference_batcher_api.md b/docs/templates/model-serving/inference_batcher_api.md
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diff --git a/hsml/docs/templates/model-serving/inference_logger_api.md b/docs/templates/model-serving/inference_logger_api.md
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diff --git a/hsml/docs/templates/model-serving/model_serving_api.md b/docs/templates/model-serving/model_serving_api.md
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diff --git a/hsml/docs/templates/model-serving/predictor_api.md b/docs/templates/model-serving/predictor_api.md
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diff --git a/hsml/docs/templates/model-serving/predictor_state_api.md b/docs/templates/model-serving/predictor_state_api.md
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diff --git a/hsml/docs/templates/model-serving/predictor_state_condition_api.md b/docs/templates/model-serving/predictor_state_condition_api.md
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diff --git a/hsml/docs/templates/model-serving/resources_api.md b/docs/templates/model-serving/resources_api.md
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diff --git a/hsml/docs/templates/model-serving/transformer_api.md b/docs/templates/model-serving/transformer_api.md
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diff --git a/hsfs/auto_doc.py b/hsfs/auto_doc.py
deleted file mode 100644
index a98af258b..000000000
--- a/hsfs/auto_doc.py
+++ /dev/null
@@ -1,384 +0,0 @@
-import os
-import pathlib
-import shutil
-
-import keras_autodoc
-
-PAGES = {
-    "api/connection_api.md": {
-        "connection": ["hsfs.connection.Connection"],
-        "connection_properties": keras_autodoc.get_properties(
-            "hsfs.connection.Connection"
-        ),
-        "connection_methods": keras_autodoc.get_methods("hsfs.connection.Connection"),
-    },
-    "api/spine_group_api.md": {
-        "fg": ["hsfs.feature_group.SpineGroup"],
-        "fg_create": ["hsfs.feature_store.FeatureStore.get_or_create_spine_group"],
-        "fg_get": ["hsfs.feature_store.FeatureStore.get_or_create_spine_group"],
-        "fg_properties": keras_autodoc.get_properties(
-            "hsfs.feature_group.SpineGroup",
-            exclude=[
-                "expectation_suite",
-                "location",
-                "online_enabled",
-                "statistics",
-                "statistics_config",
-                "subject",
-            ],
-        ),
-        "fg_methods": keras_autodoc.get_methods(
-            "hsfs.feature_group.SpineGroup",
-            exclude=[
-                "append_features",
-                "compute_statistics",
-                "delete_expectation_suite",
-                "from_response_json",
-                "get_all_validation_reports",
-                "get_expectation_suite",
-                "get_latest_validation_report",
-                "get_statistics",
-                "get_validation_history",
-                "save_expectation_suite",
-                "save_validation_report",
-                "update_from_response_json",
-                "update_statistics_config",
-                "validate",
-            ],
-        ),
-    },
-    "api/training_dataset_api.md": {
-        "td": ["hsfs.training_dataset.TrainingDataset"],
-        "td_create": ["hsfs.feature_store.FeatureStore.create_training_dataset"],
-        "td_get": ["hsfs.feature_store.FeatureStore.get_training_dataset"],
-        "td_properties": keras_autodoc.get_properties(
-            "hsfs.training_dataset.TrainingDataset"
-        ),
-        "td_methods": keras_autodoc.get_methods(
-            "hsfs.training_dataset.TrainingDataset"
-        ),
-    },
-    "api/feature_view_api.md": {
-        "fv": ["hsfs.feature_view.FeatureView"],
-        "fv_create": ["hsfs.feature_store.FeatureStore.create_feature_view"],
-        "fv_get": ["hsfs.feature_store.FeatureStore.get_feature_view"],
-        "fvs_get": ["hsfs.feature_store.FeatureStore.get_feature_views"],
-        "fv_properties": keras_autodoc.get_properties("hsfs.feature_view.FeatureView"),
-        "fv_methods": keras_autodoc.get_methods("hsfs.feature_view.FeatureView"),
-    },
-    "api/feature_api.md": {
-        "feature": ["hsfs.feature.Feature"],
-        "feature_properties": keras_autodoc.get_properties("hsfs.feature.Feature"),
-        "feature_methods": keras_autodoc.get_methods("hsfs.feature.Feature"),
-    },
-    "api/expectation_suite_api.md": {
-        "expectation_suite": ["hsfs.expectation_suite.ExpectationSuite"],
-        "expectation_suite_attach": [
-            "hsfs.feature_group.FeatureGroup.save_expectation_suite"
-        ],
-        "single_expectation_api": [
-            "hsfs.expectation_suite.ExpectationSuite.add_expectation",
-            "hsfs.expectation_suite.ExpectationSuite.replace_expectation",
-            "hsfs.expectation_suite.ExpectationSuite.remove_expectation",
-        ],
-        "expectation_suite_properties": keras_autodoc.get_properties(
-            "hsfs.expectation_suite.ExpectationSuite"
-        ),
-        "expectation_suite_methods": keras_autodoc.get_methods(
-            "hsfs.expectation_suite.ExpectationSuite"
-        ),
-    },
-    "api/feature_store_api.md": {
-        "fs": ["hsfs.feature_store.FeatureStore"],
-        "fs_get": ["hsfs.connection.Connection.get_feature_store"],
-        "fs_properties": keras_autodoc.get_properties(
-            "hsfs.feature_store.FeatureStore"
-        ),
-        "fs_methods": keras_autodoc.get_methods("hsfs.feature_store.FeatureStore"),
-    },
-    "api/feature_group_api.md": {
-        "fg": ["hsfs.feature_group.FeatureGroup"],
-        "fg_create": [
-            "hsfs.feature_store.FeatureStore.create_feature_group",
-            "hsfs.feature_store.FeatureStore.get_or_create_feature_group",
-        ],
-        "fg_get": ["hsfs.feature_store.FeatureStore.get_feature_group"],
-        "fg_properties": keras_autodoc.get_properties(
-            "hsfs.feature_group.FeatureGroup"
-        ),
-        "fg_methods": keras_autodoc.get_methods("hsfs.feature_group.FeatureGroup"),
-    },
-    "api/external_feature_group_api.md": {
-        "fg": ["hsfs.feature_group.ExternalFeatureGroup"],
-        "fg_create": ["hsfs.feature_store.FeatureStore.create_external_feature_group"],
-        "fg_get": ["hsfs.feature_store.FeatureStore.get_external_feature_group"],
-        "fg_properties": keras_autodoc.get_properties(
-            "hsfs.feature_group.ExternalFeatureGroup"
-        ),
-        "fg_methods": keras_autodoc.get_methods(
-            "hsfs.feature_group.ExternalFeatureGroup"
-        ),
-    },
-    "api/storage_connector_api.md": {
-        "sc_get": [
-            "hsfs.feature_store.FeatureStore.get_storage_connector",
-            "hsfs.feature_store.FeatureStore.get_online_storage_connector",
-        ],
-        "hopsfs_methods": keras_autodoc.get_methods(
-            "hsfs.storage_connector.HopsFSConnector", exclude=["from_response_json"]
-        ),
-        "hopsfs_properties": keras_autodoc.get_properties(
-            "hsfs.storage_connector.HopsFSConnector"
-        ),
-        "s3_methods": keras_autodoc.get_methods(
-            "hsfs.storage_connector.S3Connector", exclude=["from_response_json"]
-        ),
-        "s3_properties": keras_autodoc.get_properties(
-            "hsfs.storage_connector.S3Connector"
-        ),
-        "redshift_methods": keras_autodoc.get_methods(
-            "hsfs.storage_connector.RedshiftConnector", exclude=["from_response_json"]
-        ),
-        "redshift_properties": keras_autodoc.get_properties(
-            "hsfs.storage_connector.RedshiftConnector"
-        ),
-        "adls_methods": keras_autodoc.get_methods(
-            "hsfs.storage_connector.AdlsConnector", exclude=["from_response_json"]
-        ),
-        "adls_properties": keras_autodoc.get_properties(
-            "hsfs.storage_connector.AdlsConnector"
-        ),
-        "snowflake_methods": keras_autodoc.get_methods(
-            "hsfs.storage_connector.SnowflakeConnector", exclude=["from_response_json"]
-        ),
-        "snowflake_properties": keras_autodoc.get_properties(
-            "hsfs.storage_connector.SnowflakeConnector"
-        ),
-        "jdbc_methods": keras_autodoc.get_methods(
-            "hsfs.storage_connector.JdbcConnector", exclude=["from_response_json"]
-        ),
-        "jdbc_properties": keras_autodoc.get_properties(
-            "hsfs.storage_connector.JdbcConnector"
-        ),
-        "gcs_methods": keras_autodoc.get_methods(
-            "hsfs.storage_connector.GcsConnector", exclude=["from_response_json"]
-        ),
-        "gcs_properties": keras_autodoc.get_properties(
-            "hsfs.storage_connector.GcsConnector"
-        ),
-        "bigquery_methods": keras_autodoc.get_methods(
-            "hsfs.storage_connector.BigQueryConnector", exclude=["from_response_json"]
-        ),
-        "bigquery_properties": keras_autodoc.get_properties(
-            "hsfs.storage_connector.BigQueryConnector"
-        ),
-        "kafka_methods": keras_autodoc.get_methods(
-            "hsfs.storage_connector.KafkaConnector", exclude=["from_response_json"]
-        ),
-        "kafka_properties": keras_autodoc.get_properties(
-            "hsfs.storage_connector.KafkaConnector"
-        ),
-    },
-    "api/statistics_config_api.md": {
-        "statistics_config": ["hsfs.statistics_config.StatisticsConfig"],
-        "statistics_config_properties": keras_autodoc.get_properties(
-            "hsfs.statistics_config.StatisticsConfig"
-        ),
-    },
-    "api/transformation_functions_api.md": {
-        "transformation_function": [
-            "hsfs.transformation_function.TransformationFunction"
-        ],
-        "transformation_function_properties": keras_autodoc.get_properties(
-            "hsfs.transformation_function.TransformationFunction"
-        ),
-        "transformation_function_methods": keras_autodoc.get_methods(
-            "hsfs.transformation_function.TransformationFunction",
-            exclude=[
-                "from_response_json",
-                "update_from_response_json",
-                "json",
-                "to_dict",
-            ],
-        ),
-        "create_transformation_function": [
-            "hsfs.feature_store.FeatureStore.create_transformation_function"
-        ],
-        "get_transformation_function": [
-            "hsfs.feature_store.FeatureStore.get_transformation_function"
-        ],
-        "get_transformation_functions": [
-            "hsfs.feature_store.FeatureStore.get_transformation_functions"
-        ],
-    },
-    "api/validation_report_api.md": {
-        "validation_report": ["hsfs.validation_report.ValidationReport"],
-        "validation_report_validate": [
-            "hsfs.feature_group.FeatureGroup.validate",
-            "hsfs.feature_group.FeatureGroup.insert",
-        ],
-        "validation_report_get": [
-            "hsfs.feature_group.FeatureGroup.get_latest_validation_report",
-            "hsfs.feature_group.FeatureGroup.get_all_validation_reports",
-        ],
-        "validation_report_properties": keras_autodoc.get_properties(
-            "hsfs.validation_report.ValidationReport"
-        ),
-        "validation_report_methods": keras_autodoc.get_methods(
-            "hsfs.validation_report.ValidationReport"
-        ),
-    },
-    "api/job.md": {
-        "job_configuration": ["hsfs.core.job_configuration.JobConfiguration"],
-        "job": ["hsfs.core.job.Job"],
-        "job_methods": [
-            "hsfs.core.job.Job.get_state",
-            "hsfs.core.job.Job.get_final_state",
-        ],
-    },
-    "api/query_api.md": {
-        "query_methods": keras_autodoc.get_methods(
-            "hsfs.constructor.query.Query",
-            exclude=["json", "to_dict"],
-        ),
-        "query_properties": keras_autodoc.get_properties(
-            "hsfs.constructor.query.Query"
-        ),
-    },
-    "api/links.md": {
-        "links_properties": keras_autodoc.get_properties(
-            "hsfs.core.explicit_provenance.Links"
-        ),
-        "artifact_properties": keras_autodoc.get_properties(
-            "hsfs.core.explicit_provenance.Artifact"
-        ),
-    },
-    "api/statistics_api.md": {
-        "statistics": ["hsfs.statistics.Statistics"],
-        "statistics_properties": keras_autodoc.get_properties(
-            "hsfs.statistics.Statistics"
-        ),
-    },
-    "api/split_statistics_api.md": {
-        "split_statistics": ["hsfs.split_statistics.SplitStatistics"],
-        "split_statistics_properties": keras_autodoc.get_properties(
-            "hsfs.split_statistics.SplitStatistics"
-        ),
-    },
-    "api/feature_descriptive_statistics_api.md": {
-        "feature_descriptive_statistics": [
-            "hsfs.core.feature_descriptive_statistics.FeatureDescriptiveStatistics"
-        ],
-        "feature_descriptive_statistics_properties": keras_autodoc.get_properties(
-            "hsfs.core.feature_descriptive_statistics.FeatureDescriptiveStatistics"
-        ),
-    },
-    "api/feature_monitoring_config_api.md": {
-        "feature_monitoring_config": [
-            "hsfs.core.feature_monitoring_config.FeatureMonitoringConfig"
-        ],
-        "feature_monitoring_config_properties": keras_autodoc.get_properties(
-            "hsfs.core.feature_monitoring_config.FeatureMonitoringConfig"
-        ),
-        "feature_monitoring_config_methods": keras_autodoc.get_methods(
-            "hsfs.core.feature_monitoring_config.FeatureMonitoringConfig",
-            exclude=[
-                "from_response_json",
-                "update_from_response_json",
-                "json",
-                "to_dict",
-            ],
-        ),
-        # from feature group
-        "feature_monitoring_config_creation_fg": [
-            "hsfs.feature_group.FeatureGroup.create_statistics_monitoring",
-            "hsfs.feature_group.FeatureGroup.create_feature_monitoring",
-        ],
-        # from feature view
-        "feature_monitoring_config_creation_fv": [
-            "hsfs.feature_view.FeatureView.create_statistics_monitoring",
-            "hsfs.feature_view.FeatureView.create_feature_monitoring",
-        ],
-        # retrieval
-        "feature_monitoring_config_retrieval_fg": [
-            "hsfs.feature_group.FeatureGroup.get_feature_monitoring_configs",
-        ],
-        "feature_monitoring_config_retrieval_fv": [
-            "hsfs.feature_view.FeatureView.get_feature_monitoring_configs",
-        ],
-    },
-    "api/feature_monitoring_result_api.md": {
-        "feature_monitoring_result": [
-            "hsfs.core.feature_monitoring_result.FeatureMonitoringResult"
-        ],
-        "feature_monitoring_result_retrieval": [
-            "hsfs.core.feature_monitoring_config.FeatureMonitoringConfig.get_history"
-        ],
-        "feature_monitoring_result_properties": keras_autodoc.get_properties(
-            "hsfs.core.feature_monitoring_result.FeatureMonitoringResult"
-        ),
-    },
-    "api/feature_monitoring_window_config_api.md": {
-        "feature_monitoring_window_config": [
-            "hsfs.core.monitoring_window_config.MonitoringWindowConfig"
-        ],
-        "feature_monitoring_window_config_properties": keras_autodoc.get_properties(
-            "hsfs.core.monitoring_window_config.MonitoringWindowConfig"
-        ),
-    },
-    "api/embedding_index_api.md": {
-        "embedding_index": ["hsfs.embedding.EmbeddingIndex"],
-        "embedding_index_properties": keras_autodoc.get_properties(
-            "hsfs.embedding.EmbeddingIndex"
-        ),
-        "embedding_index_methods": keras_autodoc.get_methods(
-            "hsfs.embedding.EmbeddingIndex", exclude=["from_response_json"]
-        ),
-    },
-    "api/embedding_feature_api.md": {
-        "embedding_feature": ["hsfs.embedding.EmbeddingFeature"],
-        "embedding_feature_properties": keras_autodoc.get_properties(
-            "hsfs.embedding.EmbeddingFeature"
-        ),
-    },
-    "api/similarity_function_type_api.md": {
-        "similarity_function_type": ["hsfs.embedding.SimilarityFunctionType"],
-    },
-}
-
-hsfs_dir = pathlib.Path(__file__).resolve().parents[0]
-if "GITHUB_SHA" in os.environ:
-    commit_sha = os.environ["GITHUB_SHA"]
-    project_url = (
-        f"https://github.com/logicalclocks/feature-store-api/tree/{commit_sha}/python"
-    )
-else:
-    branch_name = os.environ.get("GITHUB_BASE_REF", "master")
-    project_url = (
-        f"https://github.com/logicalclocks/feature-store-api/blob/{branch_name}/python"
-    )
-
-
-def generate(dest_dir):
-    doc_generator = keras_autodoc.DocumentationGenerator(
-        PAGES,
-        project_url=project_url,
-        template_dir="./docs/templates",
-        titles_size="###",
-        extra_aliases={
-            "hsfs.core.query.Query": "hsfs.Query",
-            "hsfs.storage_connector.StorageConnector": "hsfs.StorageConnector",
-            "hsfs.statistics_config.StatisticsConfig": "hsfs.StatisticsConfig",
-            "hsfs.training_dataset_feature.TrainingDatasetFeature": "hsfs.TrainingDatasetFeature",
-            "pandas.core.frame.DataFrame": "pandas.DataFrame",
-        },
-        max_signature_line_length=100,
-    )
-    shutil.copyfile(hsfs_dir / "CONTRIBUTING.md", dest_dir / "CONTRIBUTING.md")
-    shutil.copyfile(hsfs_dir / "README.md", dest_dir / "index.md")
-
-    doc_generator.generate(dest_dir / "generated")
-
-
-if __name__ == "__main__":
-    generate(hsfs_dir / "docs")
diff --git a/hsfs/docs/CONTRIBUTING.md b/hsfs/docs/CONTRIBUTING.md
deleted file mode 100644
index 0df3de08e..000000000
--- a/hsfs/docs/CONTRIBUTING.md
+++ /dev/null
@@ -1,220 +0,0 @@
-## Python development setup
-
----
-
-- Fork and clone the repository
-
-- Create a new Python environment with your favourite environment manager (e.g. virtualenv or conda) and Python 3.9 (newer versions will return a library conflict in `auto_doc.py`)
-
-- Install repository in editable mode with development dependencies:
-
-  ```bash
-  cd python
-  pip install -e ".[python,dev]"
-  ```
-
-- Install [pre-commit](https://pre-commit.com/) and then activate its hooks. pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. The Feature Store uses pre-commit to ensure code-style and code formatting through [ruff](https://docs.astral.sh/ruff/). Run the following commands from the `python` directory:
-
-  ```bash
-  cd python
-  pip install --user pre-commit
-  pre-commit install
-  ```
-
-  Afterwards, pre-commit will run whenever you commit.
-
-- To run formatting and code-style separately, you can configure your IDE, such as VSCode, to use `ruff`, or run it via the command line:
-
-  ```bash
-  # linting
-  ruff check python --fix
-  # formatting
-  ruff format python
-  ```
-
-### Python documentation
-
-We follow a few best practices for writing the Python documentation:
-
-1. Use the google docstring style:
-
-   ```python
-   """[One Line Summary]
-
-   [Extended Summary]
-
-   [!!! example
-       import xyz
-   ]
-
-   # Arguments
-       arg1: Type[, optional]. Description[, defaults to `default`]
-       arg2: Type[, optional]. Description[, defaults to `default`]
-
-   # Returns
-       Type. Description.
-
-   # Raises
-       Exception. Description.
-   """
-   ```
-
-   If Python 3 type annotations are used, they are inserted automatically.
-
-2. Feature store entity engine methods (e.g. FeatureGroupEngine etc.) only require a single line docstring.
-3. REST Api implementations (e.g. FeatureGroupApi etc.) should be fully documented with docstrings without defaults.
-4. Public Api such as metadata objects should be fully documented with defaults.
-
-#### Setup and Build Documentation
-
-We use `mkdocs` together with `mike` ([for versioning](https://github.com/jimporter/mike/)) to build the documentation and a plugin called `keras-autodoc` to auto generate Python API documentation from docstrings.
-
-**Background about `mike`:**
-`mike` builds the documentation and commits it as a new directory to the gh-pages branch. Each directory corresponds to one version of the documentation. Additionally, `mike` maintains a json in the root of gh-pages with the mappings of versions/aliases for each of the directories available. With aliases you can define extra names like `dev` or `latest`, to indicate stable and unstable releases.
-
-1. Currently we are using our own version of `keras-autodoc`
-
-   ```bash
-   pip install git+https://github.com/logicalclocks/keras-autodoc
-   ```
-
-2. Install HSFS with `docs` extras:
-
-   ```bash
-   pip install -e ".[python,dev]" && pip install -r ../requirements-docs.txt
-   ```
-
-3. To build the docs, first run the auto doc script:
-
-   ```bash
-   cd ..
-   python auto_doc.py
-   ```
-
-##### Option 1: Build only current version of docs
-
-4. Either build the docs, or serve them dynamically:
-
-   Note: Links and pictures might not resolve properly later on when checking with this build.
-   The reason for that is that the docs are deployed with versioning on docs.hopsworks.ai and
-   therefore another level is added to all paths, e.g. `docs.hopsworks.ai/[version-or-alias]`.
-   Using relative links should not be affected by this, however, building the docs with version
-   (Option 2) is recommended.
-
-   ```bash
-   mkdocs build
-   # or
-   mkdocs serve
-   ```
-
-##### Option 2 (Preferred): Build multi-version doc with `mike`
-
-###### Versioning on docs.hopsworks.ai
-
-On docs.hopsworks.ai we implement the following versioning scheme:
-
-- current master branches (e.g. of hsfs corresponding to master of Hopsworks): rendered as current Hopsworks snapshot version, e.g. **2.2.0-SNAPSHOT [dev]**, where `dev` is an alias to indicate that this is an unstable version.
-- the latest release: rendered with full current version, e.g. **2.1.5 [latest]** with `latest` alias to indicate that this is the latest stable release.
-- previous stable releases: rendered without alias, e.g. **2.1.4**.
-
-###### Build Instructions
-
-4.  For this you can either checkout and make a local copy of the `upstream/gh-pages` branch, where `mike` maintains the current state of docs.hopsworks.ai, or just build documentation for the branch you are updating:
-
-    Building _one_ branch:
-
-    Checkout your dev branch with modified docs:
-
-    ```bash
-    git checkout [dev-branch]
-    ```
-
-    Generate API docs if necessary:
-
-    ```bash
-    python auto_doc.py
-    ```
-
-    Build docs with a version and alias
-
-    ```bash
-    mike deploy [version] [alias] --update-alias
-
-    # for example, if you are updating documentation to be merged to master,
-    # which will become the new SNAPSHOT version:
-    mike deploy 2.2.0-SNAPSHOT dev --update-alias
-
-    # if you are updating docs of the latest stable release branch
-    mike deploy [version] latest --update-alias
-
-    # if you are updating docs of a previous stable release branch
-    mike deploy [version]
-    ```
-
-    If no gh-pages branch existed in your local repository, this will have created it.
-
-    **Important**: If no previous docs were built, you will have to choose a version as default to be loaded as index, as follows
-
-    ```bash
-    mike set-default [version-or-alias]
-    ```
-
-    You can now checkout the gh-pages branch and serve:
-
-    ```bash
-    git checkout gh-pages
-    mike serve
-    ```
-
-    You can also list all available versions/aliases:
-
-    ```bash
-    mike list
-    ```
-
-    Delete and reset your local gh-pages branch:
-
-    ```bash
-    mike delete --all
-
-    # or delete single version
-    mike delete [version-or-alias]
-    ```
-
-#### Adding new API documentation
-
-To add new documentation for APIs, you need to add information about the method/class to document to the `auto_doc.py` script:
-
-```python
-PAGES = {
-    "connection.md": [
-        "hsfs.connection.Connection.connection"
-    ]
-    "new_template.md": [
-            "module",
-            "xyz.asd"
-    ]
-}
-```
-
-Now you can add a template markdown file to the `docs/templates` directory with the name you specified in the auto-doc script. The `new_template.md` file should contain a tag to identify the place at which the API documentation should be inserted:
-
-````
-## The XYZ package
-
-{{module}}
-
-Some extra content here.
-
-!!! example
-    ```python
-    import xyz
-    ```
-
-{{xyz.asd}}
-````
-
-Finally, run the `auto_doc.py` script, as decribed above, to update the documentation.
-
-For information about Markdown syntax and possible Admonitions/Highlighting etc. see
-the [Material for Mkdocs themes reference documentation](https://squidfunk.github.io/mkdocs-material/reference/abbreviations/).
diff --git a/hsfs/docs/assets/images/favicon.ico b/hsfs/docs/assets/images/favicon.ico
deleted file mode 100644
index ab7573067..000000000
Binary files a/hsfs/docs/assets/images/favicon.ico and /dev/null differ
diff --git a/hsfs/docs/assets/images/hops-logo.png b/hsfs/docs/assets/images/hops-logo.png
deleted file mode 100644
index d3625ae07..000000000
Binary files a/hsfs/docs/assets/images/hops-logo.png and /dev/null differ
diff --git a/hsfs/docs/css/custom.css b/hsfs/docs/css/custom.css
deleted file mode 100644
index 45f87459a..000000000
--- a/hsfs/docs/css/custom.css
+++ /dev/null
@@ -1,114 +0,0 @@
-[data-md-color-scheme="hopsworks"] {
-  --md-primary-fg-color: #1EB382;
-  --md-secondary-fg-color: #188a64;
-  --md-tertiary-fg-color: #0d493550;
-  --md-quaternary-fg-color: #fdfdfd;
-  --border-radius-variable: 5px;
-}
-
-.md-footer__inner:not([hidden]) {
-  display: none
-}
-
-/* Lex did stuff here */
-.svg_topnav{
-  width: 12px;
-  filter: invert(100);
-}
-.svg_topnav:hover{
-  width: 12px;
-  filter: invert(10);
-}
-
-.md-header[data-md-state=shadow] {
-  box-shadow: 0 0 0 0;
-}
-
-.md-tabs__item {
-  min-width: 2.25rem;
-  min-height: 1.5rem;
-}
-
-.md-tabs__item:hover {
-  background-color: var(--md-tertiary-fg-color);
-  transition: background-color 450ms;
-}
-
-/*
-.md-sidebar__scrollwrap{
-  background-color: var(--md-quaternary-fg-color);
-  padding: 15px 5px 5px 5px;
-  border-radius: var(--border-radius-variable);
-}
-*/
-.md-nav__link:focus{
-}
-
-.image_logo_02{
-  width:450px;
-}
-
-/* End of Lex did stuff here */
-
-.md-header__button.md-logo {
-  margin: .1rem;
-  padding: .1rem;
-}
-
-.md-header__button.md-logo img, .md-header__button.md-logo svg {
-  display: block;
-  width: 1.8rem;
-  height: 1.8rem;
-  fill: currentColor;
-}
-
-.md-tabs {
-  width: 100%;
-  overflow: auto;
-  color: var(--md-primary-bg-color);
-  background-color: var(--md-secondary-fg-color);
-  transition: background-color 250ms;
-}
-
-.wrapper {
-  display: grid;
-  grid-template-columns: repeat(4, 1fr);
-  gap: 10px;
-  grid-auto-rows: minmax(100px, auto);
-}
-
-.wrapper * {
-    border: 2px solid green;
-    text-align: center;
-    padding: 70px 0;
-}
-
-.one {
-  grid-column: 1 / 2;
-  grid-row: 1;
-}
-.two {
-  grid-column: 2 / 3;
-  grid-row: 1;
-}
-.three {
-  grid-column: 3 / 4;
-  grid-row: 1;
-}
-.four {
-  grid-column: 4 / 5;
-  grid-row: 1;
-}
-.five {
-  grid-column: 1 / 3;
-  grid-row: 2;
-}
-.six {
-  grid-column: 3 / 5;
-  grid-row: 2;
-}
-
-/* Jupyter Stuff */
-.jupyter-wrapper .jp-CodeCell .jp-Cell-inputWrapper .jp-InputPrompt {
-  display: none !important;
-}
diff --git a/hsfs/docs/css/dropdown.css b/hsfs/docs/css/dropdown.css
deleted file mode 100644
index 531f7b10d..000000000
--- a/hsfs/docs/css/dropdown.css
+++ /dev/null
@@ -1,55 +0,0 @@
-/* Style The Dropdown Button */
-.dropbtn {
-  color: white;
-  border: none;
-  cursor: pointer;
-}
-
-.md-tabs__list {
-  contain: inherit;
-}
-
-.md-tabs {
-  overflow: inherit;
-}
-
-
-/* The container <div> - needed to position the dropdown content */
-.dropdown {
-  position: absolute;
-  display: inline-block;
-}
-
-/* Dropdown Content (Hidden by Default) */
-.dropdown-content {
-  display: none;
-  font-size: 13px;
-  position: absolute;
-  background-color: #f9f9f9;
-  min-width: 160px;
-  box-shadow: 0px 8px 16px 0px rgba(0, 0, 0, 0.2);
-  z-index: 1000;
-  border-radius: 2px;
-  left: -15px;
-}
-
-/* Links inside the dropdown */
-.dropdown-content a {
-  color: black;
-  padding: 12px 16px;
-  text-decoration: none;
-  display: block;
-}
-
-/* Change color of dropdown links on hover */
-.dropdown-content a:hover {
-  background-color: #f1f1f1
-}
-
-/* Show the dropdown menu on hover */
-.dropdown:hover .dropdown-content {
-  display: block;
-}
-
-/* Change the background color of the dropdown button when the dropdown content is shown */
-.dropdown:hover .dropbtn {}
\ No newline at end of file
diff --git a/hsfs/docs/css/marctech.css b/hsfs/docs/css/marctech.css
deleted file mode 100644
index 8bb58c97b..000000000
--- a/hsfs/docs/css/marctech.css
+++ /dev/null
@@ -1,1047 +0,0 @@
-:root {
-    --md-primary-fg-color: #1EB382;
-    --md-secondary-fg-color: #188a64;
-    --md-tertiary-fg-color: #0d493550;
-    --md-quaternary-fg-color: #fdfdfd;
-    --md-fiftuary-fg-color: #2471cf;
-    --border-radius-variable: 5px;
-    --border-width:1px;
-  }
-
-  .marctech_main a{
-    color: var(--md-fiftuary-fg-color);
-    border-bottom: 1px dotted var(--md-fiftuary-fg-color) !important;
-    text-decoration: dotted !important;}
-
-  .marctech_main a:hover{
-    border-bottom: 1px dotted var(--md-primary-fg-color)!important;
-  }
-
-  .marctech_main a:visited{
-    color: var(--md-tertiary-fg-color);
-    border-bottom: 1px dotted var(--md-tertiary-fg-color) !important;
-
-  }
-
-  .w-layout-grid {
-    display: -ms-grid;
-    display: grid;
-    grid-auto-columns: 1fr;
-    -ms-grid-columns: 1fr 1fr;
-    grid-template-columns: 1fr 1fr;
-    -ms-grid-rows: auto auto;
-    grid-template-rows: auto auto;
-    grid-row-gap: 16px;
-    grid-column-gap: 16px;
-  }
-
-  .image_logo{
-    width: 69%;
-    background-color: white;
-    z-index: 50;
-    padding: 0px 15px 0px 15px;
-    margin-bottom: 10px;
-  }
-
-  .layer_02{
-    pointer-events: none;
-  }
-
-  .round-frame{
-    pointer-events: initial;
-  }
-
-  .marctech_main {
-    margin-top:-20px;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-    margin-bottom: 55px;
-  }
-
-  .collumns {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    height: 100%;
-    -webkit-box-align: stretch;
-    -webkit-align-items: stretch;
-    -ms-flex-align: stretch;
-    align-items: stretch;
-  }
-
-  .col_heading {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-  }
-
-  .enterprisefs {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-  }
-
-  .enterprise_ai {
-    -webkit-align-self: center;
-    -ms-flex-item-align: center;
-    -ms-grid-row-align: center;
-    align-self: center;
-    -webkit-box-flex: 1;
-    -webkit-flex: 1;
-    -ms-flex: 1;
-    flex: 1;
-  }
-
-  .side-content {
-    z-index: 0;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    width: 240px;
-    height: 100%;
-    margin-top: 10px;
-    margin-bottom: 10px;
-    padding: 20px 10px;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-    -webkit-align-content: flex-start;
-    -ms-flex-line-pack: start;
-    align-content: flex-start;
-    border-style: solid;
-    border-width: var(--border-width);
-    border-color: #585858;
-    border-radius: 10px;
-    background-color:var(--md-quaternary-fg-color);
-  }
-  .body {
-    padding: 40px;
-    font-family: Roboto, sans-serif;
-  }
-
-  .green {
-    color: #1eb182;
-    font-size: 1.2vw;
-  }
-
-  .rec_frame {
-    position: relative;
-    z-index: 1;
-    display: inline-block;
-    min-width: 150px;
-    margin-top: 10px;
-    margin-right: 10px;
-    margin-left: 10px;
-    padding: 10px 10px;
-    border-style: solid;
-    border-width: var(--border-width);
-    border-color: #585858;
-    border-radius: 10px;
-    background-color: #fff;
-    box-shadow: 4px 4px 0 0 rgba(88, 88, 88, 0.16);
-    -webkit-transition: box-shadow 200ms ease, border-color 200ms ease;
-    transition: box-shadow 200ms ease, border-color 200ms ease;
-    color: #585858;
-    text-align: center;
-    cursor: pointer;
-  }
-
-  .rec_frame:hover {
-    border-color: #c2c2c2;
-    box-shadow: none;
-  }
-
-  .name_item {
-    font-size: 0.7rem;
-    line-height: 120%;
-    font-weight: 700;
-  }
-
-  .name_item.db {
-    position: relative;
-    z-index: 3;
-    text-align: left;
-  }
-
-  .name_item.small {
-    font-size: 0.6rem;
-    font-weight: 500;
-  }
-
-  .name_item.ingrey {
-    padding-bottom: 20px;
-  }
-
-  .db_frame-mid {
-    position: relative;
-    z-index: 1;
-    margin-top: -8px;
-    padding: 5px 2px;
-    border-style: solid;
-    border-width: var(--border-width);
-    border-color: #585858;
-    border-radius: 0px 0% 50% 50%;
-    background-color: #fff;
-    color: #585858;
-    text-align: center;
-  }
-
-  .db_frame-top {
-    position: relative;
-    z-index: 2;
-    padding: 5px 2px;
-    border-style: solid;
-    border-width: var(--border-width);
-    border-color: #585858;
-    border-radius: 50%;
-    background-color: #fff;
-    color: #585858;
-    text-align: center;
-  }
-
-  .icondb {
-    position: relative;
-    width: 25px;
-    min-width: 25px;
-    margin-right: 10px;
-  }
-
-  .db_frame {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    width: 150px;
-    height: 55px;
-    padding: 20px 10px;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-    border-style: solid;
-    border-width: var(--border-width);
-    border-color: #585858;
-    border-radius: 10px;
-    background-color: #fff;
-    box-shadow: 4px 4px 0 0 rgba(88, 88, 88, 0.16);
-    -webkit-transition: box-shadow 200ms ease, border-color 200ms ease;
-    transition: box-shadow 200ms ease, border-color 200ms ease;
-    color: #585858;
-    text-align: center;
-    cursor: pointer;
-  }
-
-  .db_frame:hover {
-    border-color: #c2c2c2;
-    box-shadow: none;
-  }
-
-  .grid {
-    -ms-grid-rows: auto auto auto;
-    grid-template-rows: auto auto auto;
-  }
-
-  .arrowdown {
-    position: relative;
-    z-index: 0;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    margin-top: -10px;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-  }
-
-  .heading_MT {
-    margin-top: 0px !important;
-    margin-bottom: 0px !important;
-    font-size: 1.3rem !important;
-    white-space: nowrap !important;
-  }
-
-  .head_col {
-    padding-left: 10px;
-  }
-
-  .MT_heading3 {
-    margin-top: 0px !important ;
-    font-size: 0.8rem !important;
-  }
-
-  .MT_heading3.green {
-    color: #1eb182 !important;
-  }
-
-  .column_sides {
-    position: relative;
-    z-index: 2;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: justify;
-    -webkit-justify-content: space-between;
-    -ms-flex-pack: justify;
-    justify-content: space-between;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-  }
-
-  .hopsicon {
-    width: 45px;
-    height: 45px;
-  }
-
-  .column_center {
-    z-index: 10;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-  }
-
-  .center-content {
-    z-index: -50;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    width: 750px;
-    height: 670px;
-    margin-top: 10px;
-    margin-bottom: 10px;
-    padding: 20px 10px;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-    -webkit-align-content: center;
-    -ms-flex-line-pack: center;
-    align-content: center;
-    border-radius: 10px;
-    background-color: transparent;
-  }
-
-  .image {
-    width: 260px;
-  }
-
-  .layer_01 {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-    -webkit-box-align: stretch;
-    -webkit-align-items: stretch;
-    -ms-flex-align: stretch;
-    align-items: stretch;
-  }
-
-  .name_center {
-    font-size: 1rem;
-    font-weight: 700;
-  }
-
-  .rec_frame_main {
-    position: relative;
-    z-index: 1;
-    margin-top: 10px;
-    margin-right: 10px;
-    margin-left: 10px;
-    padding: 5px 10px;
-    border-style: solid;
-    border-width: var(--border-width);
-    border-color: #1eb182;
-    border-radius: 10px;
-    background-color: #e6fdf6;
-    box-shadow: 4px 4px 0 0 #dcf7ee;
-    -webkit-transition: box-shadow 200ms ease, border-color 200ms ease;
-    transition: box-shadow 200ms ease, border-color 200ms ease;
-    color: #1eb182;
-    text-align: center;
-    cursor: pointer;
-  }
-
-  .rec_frame_main:hover {
-    border-color: #9fecd4;
-    box-shadow: none;
-  }
-
-  .rec_frame_main.no_content {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    height: 100%;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-    box-shadow: 4px 4px 0 0 #dcf7ee;
-  }
-
-  .rec_frame_main.no_content:hover {
-    border-color: #1eb182;
-    box-shadow: 4px 4px 0 0 rgba(88, 88, 88, 0.16);
-  }
-
-  .name_item_02 {
-    font-size: 0.85rem;
-    font-weight: 700;
-  }
-
-  .grid-infra {
-    padding-top: 20px;
-    -ms-grid-columns: 1fr 1fr 1fr 1fr;
-    grid-template-columns: 1fr 1fr 1fr 1fr;
-    -ms-grid-rows: auto;
-    grid-template-rows: auto;
-  }
-
-  .rec_frame_main-white {
-    position: relative;
-    z-index: 1;
-    display: inline-block;
-    width: 100%;
-    margin-top: 10px;
-    margin-bottom: 10px;
-    padding: 5px 10px;
-    border-style: solid;
-    border-width: var(--border-width);
-    border-color: #1eb182;
-    border-radius: 10px;
-    background-color: #fff;
-    box-shadow: 4px 4px 0 0 rgba(88, 88, 88, 0.16);
-    -webkit-transition: box-shadow 200ms ease, border-color 200ms ease;
-    transition: box-shadow 200ms ease, border-color 200ms ease;
-    color: #1eb182;
-    text-align: center;
-    cursor: pointer;
-  }
-
-  .rec_frame_main-white:hover {
-    border-color: #c2c2c2;
-    box-shadow: none;
-  }
-
-  .rec_frame_main-white.dotted {
-    border-style: dotted;
-  }
-
-  .column {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: justify;
-    -webkit-justify-content: space-between;
-    -ms-flex-pack: justify;
-    justify-content: space-between;
-    -webkit-box-align: stretch;
-    -webkit-align-items: stretch;
-    -ms-flex-align: stretch;
-    align-items: stretch;
-  }
-
-  .columns_center {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-orient: horizontal;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: row;
-    -ms-flex-direction: row;
-    flex-direction: row;
-    -webkit-box-pack: justify;
-    -webkit-justify-content: space-between;
-    -ms-flex-pack: justify;
-    justify-content: space-between;
-  }
-
-  .non-bold {
-    font-weight: 400;
-  }
-
-  .logo-holder {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-  }
-
-  .infra {
-    text-align: center;
-    position: relative;
-    z-index: 30;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    padding: 10px;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-    border: 1px dashed #000;
-    border-radius: 6px;
-    background-color: #fff;
-    cursor: pointer;
-  }
-
-  .infra:hover {
-    border-style: solid;
-    border-color: #585858;
-  }
-
-  .text_and_icon {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-  }
-
-  .svg_icon {
-    width: 33px;
-    margin-right: 10px;
-    margin-left: 10px;
-  }
-
-  .layer_02 {
-    position: absolute;
-    z-index: 10;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    width: 96%;
-    height: 90%;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-    -webkit-box-align: stretch;
-    -webkit-align-items: stretch;
-    -ms-flex-align: stretch;
-    align-items: stretch;
-    border-style: solid;
-    border-width: calc (var(--border-width)*2);
-    border-color: #bbbbbb50 ;
-    border-radius: 100%;
-    background-color: transparent;
-  }
-
-  .round-frame {
-    position: absolute;
-    left: 0%;
-    top: auto;
-    right: auto;
-    bottom: 0%;
-    z-index: 10;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    width: 120px;
-    height: 120px;
-    margin: 10px;
-    padding: 20px;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-    -webkit-box-align: center;
-    -webkit-align-items: center;
-    -ms-flex-align: center;
-    align-items: center;
-    border-style: solid;
-    border-width: var(--border-width);
-    border-color: #585858;
-    border-radius: 100%;
-    background-color: #fff;
-    outline-color: #fff;
-    outline-offset: 0px;
-    outline-style: solid;
-    outline-width: 7px;
-    -webkit-transition: box-shadow 200ms ease, border-color 200ms ease;
-    transition: box-shadow 200ms ease, border-color 200ms ease;
-    color: #585858;
-    text-align: center;
-    cursor: pointer;
-  }
-
-  .round-frame:hover {
-    border-color: #c2c2c2;
-    box-shadow: none;
-  }
-
-  .round-frame.top-left {
-    left: 4%;
-    top: 15%;
-    right: auto;
-    bottom: auto;
-  }
-
-  .round-frame.bottom-left {
-    left: 4%;
-    bottom: 15%;
-  }
-
-  .round-frame.top-right {
-    left: auto;
-    top: 15%;
-    right: 4%;
-    bottom: auto;
-  }
-
-  .round-frame.bottom-right {
-    left: auto;
-    top: auto;
-    right: 4%;
-    bottom: 15%;
-    padding: 10px;
-  }
-
-  .side-holder {
-    z-index: -1;
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    height: 630px;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: center;
-    -webkit-justify-content: center;
-    -ms-flex-pack: center;
-    justify-content: center;
-  }
-
-  .infra-icon {
-    width: 25px;
-    height: 25px;
-  }
-
-  .div-block {
-    display: -webkit-box;
-    display: -webkit-flex;
-    display: -ms-flexbox;
-    display: flex;
-    height: 100%;
-    -webkit-box-orient: vertical;
-    -webkit-box-direction: normal;
-    -webkit-flex-direction: column;
-    -ms-flex-direction: column;
-    flex-direction: column;
-    -webkit-box-pack: justify;
-    -webkit-justify-content: space-between;
-    -ms-flex-pack: justify;
-    justify-content: space-between;
-  }
-
-  #w-node-a2a9b648-f5dd-74e5-e1c2-f7aaf4fa1fcd-46672785 {
-    -ms-grid-column: span 1;
-    grid-column-start: span 1;
-    -ms-grid-column-span: 1;
-    grid-column-end: span 1;
-    -ms-grid-row: span 1;
-    grid-row-start: span 1;
-    -ms-grid-row-span: 1;
-    grid-row-end: span 1;
-  }
-
-  #w-node-_466aa2bf-88bf-5a65-eab4-fc1eb95e7384-46672785 {
-    -ms-grid-column: span 1;
-    grid-column-start: span 1;
-    -ms-grid-column-span: 1;
-    grid-column-end: span 1;
-    -ms-grid-row: span 1;
-    grid-row-start: span 1;
-    -ms-grid-row-span: 1;
-    grid-row-end: span 1;
-  }
-
-  #w-node-_87009ba3-d9a6-e0b7-4cce-581190a19cf3-46672785 {
-    -ms-grid-column: span 1;
-    grid-column-start: span 1;
-    -ms-grid-column-span: 1;
-    grid-column-end: span 1;
-    -ms-grid-row: span 1;
-    grid-row-start: span 1;
-    -ms-grid-row-span: 1;
-    grid-row-end: span 1;
-  }
-
-  #w-node-_4a479fbb-90c7-9f47-d439-20aa6a224339-46672785 {
-    -ms-grid-column: span 1;
-    grid-column-start: span 1;
-    -ms-grid-column-span: 1;
-    grid-column-end: span 1;
-    -ms-grid-row: span 1;
-    grid-row-start: span 1;
-    -ms-grid-row-span: 1;
-    grid-row-end: span 1;
-  }
-
-
-  /*
-
-
-  inherited from the original template
-
-  */
-
-  .w-container .w-row {
-    margin-left: -10px;
-    margin-right: -10px;
-  }
-  .w-row:before,
-  .w-row:after {
-    content: " ";
-    display: table;
-    grid-column-start: 1;
-    grid-row-start: 1;
-    grid-column-end: 2;
-    grid-row-end: 2;
-  }
-  .w-row:after {
-    clear: both;
-  }
-  .w-row .w-row {
-    margin-left: 0;
-    margin-right: 0;
-  }
-  .w-col {
-    position: relative;
-    float: left;
-    width: 100%;
-    min-height: 1px;
-    padding-left: 10px;
-    padding-right: 10px;
-  }
-  .w-col .w-col {
-    padding-left: 0;
-    padding-right: 0;
-  }
-  .w-col-1 {
-    width: 8.33333333%;
-  }
-  .w-col-2 {
-    width: 16.66666667%;
-  }
-  .w-col-3 {
-    width: 25%;
-  }
-  .w-col-4 {
-    width: 33.33333333%;
-  }
-  .w-col-5 {
-    width: 41.66666667%;
-  }
-  .w-col-6 {
-    width: 50%;
-  }
-  .w-col-7 {
-    width: 58.33333333%;
-  }
-  .w-col-8 {
-    width: 66.66666667%;
-  }
-  .w-col-9 {
-    width: 75%;
-  }
-  .w-col-10 {
-    width: 83.33333333%;
-  }
-  .w-col-11 {
-    width: 91.66666667%;
-  }
-  .w-col-12 {
-    width: 100%;
-  }
-  .w-hidden-main {
-    display: none !important;
-  }
-  @media screen and (max-width: 991px) {
-    .w-container {
-      max-width: 728px;
-    }
-    .w-hidden-main {
-      display: inherit !important;
-    }
-    .w-hidden-medium {
-      display: none !important;
-    }
-    .w-col-medium-1 {
-      width: 8.33333333%;
-    }
-    .w-col-medium-2 {
-      width: 16.66666667%;
-    }
-    .w-col-medium-3 {
-      width: 25%;
-    }
-    .w-col-medium-4 {
-      width: 33.33333333%;
-    }
-    .w-col-medium-5 {
-      width: 41.66666667%;
-    }
-    .w-col-medium-6 {
-      width: 50%;
-    }
-    .w-col-medium-7 {
-      width: 58.33333333%;
-    }
-    .w-col-medium-8 {
-      width: 66.66666667%;
-    }
-    .w-col-medium-9 {
-      width: 75%;
-    }
-    .w-col-medium-10 {
-      width: 83.33333333%;
-    }
-    .w-col-medium-11 {
-      width: 91.66666667%;
-    }
-    .w-col-medium-12 {
-      width: 100%;
-    }
-    .w-col-stack {
-      width: 100%;
-      left: auto;
-      right: auto;
-    }
-  }
-  @media screen and (max-width: 767px) {
-    .w-hidden-main {
-      display: inherit !important;
-    }
-    .w-hidden-medium {
-      display: inherit !important;
-    }
-    .w-hidden-small {
-      display: none !important;
-    }
-    .w-row,
-    .w-container .w-row {
-      margin-left: 0;
-      margin-right: 0;
-    }
-    .w-col {
-      width: 100%;
-      left: auto;
-      right: auto;
-    }
-    .w-col-small-1 {
-      width: 8.33333333%;
-    }
-    .w-col-small-2 {
-      width: 16.66666667%;
-    }
-    .w-col-small-3 {
-      width: 25%;
-    }
-    .w-col-small-4 {
-      width: 33.33333333%;
-    }
-    .w-col-small-5 {
-      width: 41.66666667%;
-    }
-    .w-col-small-6 {
-      width: 50%;
-    }
-    .w-col-small-7 {
-      width: 58.33333333%;
-    }
-    .w-col-small-8 {
-      width: 66.66666667%;
-    }
-    .w-col-small-9 {
-      width: 75%;
-    }
-    .w-col-small-10 {
-      width: 83.33333333%;
-    }
-    .w-col-small-11 {
-      width: 91.66666667%;
-    }
-    .w-col-small-12 {
-      width: 100%;
-    }
-  }
-  @media screen and (max-width: 479px) {
-    .w-container {
-      max-width: none;
-    }
-    .w-hidden-main {
-      display: inherit !important;
-    }
-    .w-hidden-medium {
-      display: inherit !important;
-    }
-    .w-hidden-small {
-      display: inherit !important;
-    }
-    .w-hidden-tiny {
-      display: none !important;
-    }
-    .w-col {
-      width: 100%;
-    }
-    .w-col-tiny-1 {
-      width: 8.33333333%;
-    }
-    .w-col-tiny-2 {
-      width: 16.66666667%;
-    }
-    .w-col-tiny-3 {
-      width: 25%;
-    }
-    .w-col-tiny-4 {
-      width: 33.33333333%;
-    }
-    .w-col-tiny-5 {
-      width: 41.66666667%;
-    }
-    .w-col-tiny-6 {
-      width: 50%;
-    }
-    .w-col-tiny-7 {
-      width: 58.33333333%;
-    }
-    .w-col-tiny-8 {
-      width: 66.66666667%;
-    }
-    .w-col-tiny-9 {
-      width: 75%;
-    }
-    .w-col-tiny-10 {
-      width: 83.33333333%;
-    }
-    .w-col-tiny-11 {
-      width: 91.66666667%;
-    }
-    .w-col-tiny-12 {
-      width: 100%;
-    }
-  }
diff --git a/hsfs/docs/css/version-select.css b/hsfs/docs/css/version-select.css
deleted file mode 100644
index 3b908ae84..000000000
--- a/hsfs/docs/css/version-select.css
+++ /dev/null
@@ -1,36 +0,0 @@
-@media only screen and (max-width:76.1875em) {
-}
-
-#version-selector select.form-control  {
-  	appearance: none;
-    -webkit-appearance: none;
-    -moz-appearance: none;
-
-    background-color: #F5F5F5;
-
-    background-position: center right;
-    background-repeat: no-repeat;
-    border: 0px;
-    border-radius: 2px;
-    /* box-shadow: 0px 1px 3px rgb(0 0 0 / 10%); */
-    color: inherit;
-    width: -webkit-fill-available;
-    width: -moz-available;
-    max-width: 200px;
-    font-size: inherit;
-    /* font-weight: 600; */
-    margin: 10px;
-    overflow: hidden;
-    padding: 7px 10px;
-    text-overflow: ellipsis;
-    white-space: nowrap;
-}
-
-#version-selector::after {
-    content: '⌄';
-    font-family: inherit;
-    font-size: 22px;
-    margin: -35px;
-    vertical-align: 7%;
-    padding-bottom: 10px;
-}
diff --git a/hsfs/docs/index.md b/hsfs/docs/index.md
deleted file mode 100644
index a13ea2ce5..000000000
--- a/hsfs/docs/index.md
+++ /dev/null
@@ -1,201 +0,0 @@
-# Hopsworks Feature Store
-
-<p align="center">
-  <a href="https://community.hopsworks.ai"><img
-    src="https://img.shields.io/discourse/users?label=Hopsworks%20Community&server=https%3A%2F%2Fcommunity.hopsworks.ai"
-    alt="Hopsworks Community"
-  /></a>
-    <a href="https://docs.hopsworks.ai"><img
-    src="https://img.shields.io/badge/docs-HSFS-orange"
-    alt="Hopsworks Feature Store Documentation"
-  /></a>
-  <a><img
-    src="https://img.shields.io/badge/python-3.8+-blue"
-    alt="python"
-  /></a>
-  <a href="https://pypi.org/project/hsfs/"><img
-    src="https://img.shields.io/pypi/v/hsfs?color=blue"
-    alt="PyPiStatus"
-  /></a>
-  <a href="https://archiva.hops.works/#artifact/com.logicalclocks/hsfs"><img
-    src="https://img.shields.io/badge/java-HSFS-green"
-    alt="Scala/Java Artifacts"
-  /></a>
-  <a href="https://pepy.tech/project/hsfs/month"><img
-    src="https://pepy.tech/badge/hsfs/month"
-    alt="Downloads"
-  /></a>
-  <a href=https://github.com/astral-sh/ruff><img
-    src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json"
-    alt="Ruff"
-  /></a>
-  <a><img
-    src="https://img.shields.io/pypi/l/hsfs?color=green"
-    alt="License"
-  /></a>
-</p>
-
-HSFS is the library to interact with the Hopsworks Feature Store. The library makes creating new features, feature groups and training datasets easy.
-
-The library is environment independent and can be used in two modes:
-
-- Spark mode: For data engineering jobs that create and write features into the feature store or generate training datasets. It requires a Spark environment such as the one provided in the Hopsworks platform or Databricks. In Spark mode, HSFS provides bindings both for Python and JVM languages.
-
-- Python mode: For data science jobs to explore the features available in the feature store, generate training datasets and feed them in a training pipeline. Python mode requires just a Python interpreter and can be used both in Hopsworks from Python Jobs/Jupyter Kernels, Amazon SageMaker or KubeFlow.
-
-The library automatically configures itself based on the environment it is run.
-However, to connect from an external environment such as Databricks or AWS Sagemaker,
-additional connection information, such as host and port, is required. For more information checkout the [Hopsworks documentation](https://docs.hopsworks.ai/latest/).
-
-## Getting Started On Hopsworks
-
-Get started easily by registering an account on [Hopsworks Serverless](https://app.hopsworks.ai/). Create your project and a [new Api key](https://docs.hopsworks.ai/latest/user_guides/projects/api_key/create_api_key/). In a new python environment with Python 3.8 or higher, install the [client library](https://docs.hopsworks.ai/latest/user_guides/client_installation/) using pip:
-
-```bash
-# Get all Hopsworks SDKs: Feature Store, Model Serving and Platform SDK
-pip install hopsworks
-# or minimum install with the Feature Store SDK
-pip install hsfs[python]
-# if using zsh don't forget the quotes
-pip install 'hsfs[python]'
-```
-
-You can start a notebook and instantiate a connection and get the project feature store handler.
-
-```python
-import hopsworks
-
-project = hopsworks.login() # you will be prompted for your api key
-fs = project.get_feature_store()
-```
-
-or using `hsfs` directly:
-
-```python
-import hsfs
-
-connection = hsfs.connection(
-    host="c.app.hopsworks.ai", #
-    project="your-project",
-    api_key_value="your-api-key",
-)
-fs = connection.get_feature_store()
-```
-
-Create a new feature group to start inserting feature values.
-```python
-fg = fs.create_feature_group("rain",
-                        version=1,
-                        description="Rain features",
-                        primary_key=['date', 'location_id'],
-                        online_enabled=True)
-
-fg.save(dataframe)
-```
-
-Upsert new data in to the feature group with `time_travel_format="HUDI"`".
-```python
-fg.insert(upsert_df)
-```
-
-Retrieve commit timeline metdata of the feature group with `time_travel_format="HUDI"`".
-```python
-fg.commit_details()
-```
-
-"Reading feature group as of specific point in time".
-```python
-fg = fs.get_feature_group("rain", 1)
-fg.read("2020-10-20 07:34:11").show()
-```
-
-Read updates  that occurred between specified points in time.
-```python
-fg = fs.get_feature_group("rain", 1)
-fg.read_changes("2020-10-20 07:31:38", "2020-10-20 07:34:11").show()
-```
-
-Join features together
-```python
-feature_join = rain_fg.select_all()
-                    .join(temperature_fg.select_all(), on=["date", "location_id"])
-                    .join(location_fg.select_all())
-feature_join.show(5)
-```
-
-join feature groups that correspond to specific point in time
-```python
-feature_join = rain_fg.select_all()
-                    .join(temperature_fg.select_all(), on=["date", "location_id"])
-                    .join(location_fg.select_all())
-                    .as_of("2020-10-31")
-feature_join.show(5)
-```
-
-join feature groups that correspond to different time
-```python
-rain_fg_q = rain_fg.select_all().as_of("2020-10-20 07:41:43")
-temperature_fg_q = temperature_fg.select_all().as_of("2020-10-20 07:32:33")
-location_fg_q = location_fg.select_all().as_of("2020-10-20 07:33:08")
-joined_features_q = rain_fg_q.join(temperature_fg_q).join(location_fg_q)
-```
-
-Use the query object to create a training dataset:
-```python
-td = fs.create_training_dataset("rain_dataset",
-                                version=1,
-                                data_format="tfrecords",
-                                description="A test training dataset saved in TfRecords format",
-                                splits={'train': 0.7, 'test': 0.2, 'validate': 0.1})
-
-td.save(feature_join)
-```
-
-A short introduction to the Scala API:
-```scala
-import com.logicalclocks.hsfs._
-val connection = HopsworksConnection.builder().build()
-val fs = connection.getFeatureStore();
-val attendances_features_fg = fs.getFeatureGroup("games_features", 1);
-attendances_features_fg.show(1)
-```
-
-You can find more examples on how to use the library in our [hops-examples](https://github.com/logicalclocks/hops-examples) repository.
-
-## Usage
-
-Usage data is collected for improving quality of the library. It is turned on by default if the backend
-is "c.app.hopsworks.ai". To turn it off, use one of the following way:
-```python
-# use environment variable
-import os
-os.environ["ENABLE_HOPSWORKS_USAGE"] = "false"
-
-# use `disable_usage_logging`
-import hsfs
-hsfs.disable_usage_logging()
-```
-
-The source code can be found in python/hsfs/usage.py.
-
-## Documentation
-
-Documentation is available at [Hopsworks Feature Store Documentation](https://docs.hopsworks.ai/).
-
-## Issues
-
-For general questions about the usage of Hopsworks and the Feature Store please open a topic on [Hopsworks Community](https://community.hopsworks.ai/).
-
-Please report any issue using [Github issue tracking](https://github.com/logicalclocks/feature-store-api/issues).
-
-Please attach the client environment from the output below in the issue:
-```python
-import hopsworks
-import hsfs
-hopsworks.login().get_feature_store()
-print(hsfs.get_env())
-```
-
-## Contributing
-
-If you would like to contribute to this library, please see the [Contribution Guidelines](CONTRIBUTING.md).
diff --git a/hsfs/docs/js/dropdown.js b/hsfs/docs/js/dropdown.js
deleted file mode 100644
index 2618e0ce7..000000000
--- a/hsfs/docs/js/dropdown.js
+++ /dev/null
@@ -1,2 +0,0 @@
-document.getElementsByClassName("md-tabs__link")[7].style.display = "none";
-document.getElementsByClassName("md-tabs__link")[9].style.display = "none";
diff --git a/hsfs/docs/js/inject-api-links.js b/hsfs/docs/js/inject-api-links.js
deleted file mode 100644
index aa5852283..000000000
--- a/hsfs/docs/js/inject-api-links.js
+++ /dev/null
@@ -1,32 +0,0 @@
-window.addEventListener("DOMContentLoaded", function () {
-    var windowPathNameSplits = window.location.pathname.split("/");
-    var majorVersionRegex = new RegExp("(\\d+[.]\\d+)")
-    var latestRegex = new RegExp("latest");
-    if (majorVersionRegex.test(windowPathNameSplits[1])) { // On landing page docs.hopsworks.api/3.0 - URL contains major version
-        // Version API dropdown
-        document.getElementById("hopsworks_api_link").href = "https://docs.hopsworks.ai/hopsworks-api/" + windowPathNameSplits[1] + "/generated/api/login/";
-        document.getElementById("hsfs_api_link").href = "https://docs.hopsworks.ai/feature-store-api/" + windowPathNameSplits[1] + "/generated/api/connection_api/";
-        document.getElementById("hsml_api_link").href = "https://docs.hopsworks.ai/machine-learning-api/" + windowPathNameSplits[1] + "/generated/connection_api/";
-    } else { // on docs.hopsworks.api/feature-store-api/3.0 / docs.hopsworks.api/hopsworks-api/3.0 / docs.hopsworks.api/machine-learning-api/3.0
-        if (latestRegex.test(windowPathNameSplits[2]) || latestRegex.test(windowPathNameSplits[1])) {
-          var majorVersion = "latest";
-        } else {
-
-          var apiVersion = windowPathNameSplits[2];
-          var majorVersion = apiVersion.match(majorVersionRegex)[0];
-        }
-        // Version main navigation
-        document.getElementsByClassName("md-tabs__link")[0].href = "https://docs.hopsworks.ai/" + majorVersion;
-        document.getElementsByClassName("md-tabs__link")[1].href = "https://colab.research.google.com/github/logicalclocks/hopsworks-tutorials/blob/master/quickstart.ipynb";
-        document.getElementsByClassName("md-tabs__link")[2].href = "https://docs.hopsworks.ai/" + majorVersion + "/tutorials/";
-        document.getElementsByClassName("md-tabs__link")[3].href = "https://docs.hopsworks.ai/" + majorVersion + "/concepts/hopsworks/";
-        document.getElementsByClassName("md-tabs__link")[4].href = "https://docs.hopsworks.ai/" + majorVersion + "/user_guides/";
-        document.getElementsByClassName("md-tabs__link")[5].href = "https://docs.hopsworks.ai/" + majorVersion + "/setup_installation/aws/getting_started/";
-        document.getElementsByClassName("md-tabs__link")[6].href = "https://docs.hopsworks.ai/" + majorVersion + "/admin/";
-        // Version API dropdown
-        document.getElementById("hopsworks_api_link").href = "https://docs.hopsworks.ai/hopsworks-api/" + majorVersion + "/generated/api/login/";
-        document.getElementById("hsfs_api_link").href = "https://docs.hopsworks.ai/feature-store-api/" + majorVersion + "/generated/api/connection_api/";
-        document.getElementById("hsfs_javadoc_link").href = "https://docs.hopsworks.ai/feature-store-api/" + majorVersion + "/javadoc";
-        document.getElementById("hsml_api_link").href = "https://docs.hopsworks.ai/machine-learning-api/" + majorVersion + "/generated/connection_api/";
-    }
-});
diff --git a/hsfs/docs/js/version-select.js b/hsfs/docs/js/version-select.js
deleted file mode 100644
index fcac029e3..000000000
--- a/hsfs/docs/js/version-select.js
+++ /dev/null
@@ -1,64 +0,0 @@
-window.addEventListener("DOMContentLoaded", function() {
-  // This is a bit hacky. Figure out the base URL from a known CSS file the
-  // template refers to...
-  var ex = new RegExp("/?css/version-select.css$");
-  var sheet = document.querySelector('link[href$="version-select.css"]');
-
-  var ABS_BASE_URL = sheet.href.replace(ex, "");
-  var CURRENT_VERSION = ABS_BASE_URL.split("/").pop();
-
-  function makeSelect(options, selected) {
-    var select = document.createElement("select");
-    select.classList.add("form-control");
-
-    options.forEach(function(i) {
-      var option = new Option(i.text, i.value, undefined,
-                              i.value === selected);
-      select.add(option);
-    });
-
-    return select;
-  }
-
-  var xhr = new XMLHttpRequest();
-  xhr.open("GET", ABS_BASE_URL + "/../versions.json");
-  xhr.onload = function() {
-    var versions = JSON.parse(this.responseText);
-
-    var realVersion = versions.find(function(i) {
-      return i.version === CURRENT_VERSION ||
-             i.aliases.includes(CURRENT_VERSION);
-    }).version;
-    var latestVersion = versions.find(function(i) {
-      return i.aliases.includes("latest");
-    }).version;
-    let outdated_banner = document.querySelector('div[data-md-color-scheme="default"][data-md-component="outdated"]');
-    if (realVersion !== latestVersion) {
-      outdated_banner.removeAttribute("hidden");
-    } else {
-      outdated_banner.setAttribute("hidden", "");
-    }
-
-    var select = makeSelect(versions.map(function(i) {
-      var allowedAliases = ["dev", "latest"]
-      if (i.aliases.length > 0) {
-        var aliasString = " [" + i.aliases.filter(function (str) { return allowedAliases.includes(str); }).join(", ") + "]";
-      } else {
-        var aliasString = "";
-      }
-      return {text: i.title + aliasString, value: i.version};
-    }), realVersion);
-    select.addEventListener("change", function(event) {
-      window.location.href = ABS_BASE_URL + "/../" + this.value + "/generated/api/connection_api/";
-    });
-
-    var container = document.createElement("div");
-    container.id = "version-selector";
-    // container.className = "md-nav__item";
-    container.appendChild(select);
-
-    var sidebar = document.querySelector(".md-nav--primary > .md-nav__list");
-    sidebar.parentNode.insertBefore(container, sidebar.nextSibling);
-  };
-  xhr.send();
-});
diff --git a/hsfs/docs/overrides/main.html b/hsfs/docs/overrides/main.html
deleted file mode 100644
index ecb09de07..000000000
--- a/hsfs/docs/overrides/main.html
+++ /dev/null
@@ -1,8 +0,0 @@
-{% extends "base.html" %}
-
-{% block outdated %}
-You're not viewing the latest version of the documentation.
-<a href="{{ 'https://docs.hopsworks.ai/latest' }}">
-    <strong>Click here to go to latest.</strong>
-</a>
-{% endblock %}
diff --git a/hsfs/mkdocs.yml b/hsfs/mkdocs.yml
deleted file mode 100644
index 21fb704e1..000000000
--- a/hsfs/mkdocs.yml
+++ /dev/null
@@ -1,130 +0,0 @@
-site_name: "Hopsworks Documentation"
-site_description: "Official documentation for Hopsworks and its Feature Store - an open source data-intensive AI platform used for the development and operation of machine learning models at scale."
-site_author: "Logical Clocks"
-site_url: "https://docs.hopsworks.ai/feature-store-api/latest"
-
-# Repository
-repo_name: logicalclocks/hopsworks
-repo_url: https://github.com/logicalclocks/hopsworks
-edit_uri: ""
-
-nav:
-  - Home: https://docs.hopsworks.ai/
-  - Getting Started ↗: https://docs.hopsworks.ai/
-  - Tutorials: https://docs.hopsworks.ai/
-  - Concepts: https://docs.hopsworks.ai/
-  - Guides: https://docs.hopsworks.ai/
-  - Setup and Installation: https://docs.hopsworks.ai/
-  - Administration: https://docs.hopsworks.ai/
-  - API<div class="dropdown"><button class="dropbtn"> API </button> <div id="myDropdown" class="dropdown-content"> <a id="hopsworks_api_link" href="https://docs.hopsworks.ai/hopsworks-api/latest">Hopsworks API</a> <a id="hsfs_api_link" href="https://docs.hopsworks.ai/feature-store-api/latest">Feature Store API</a> <a id="hsfs_javadoc_link" href="https://docs.hopsworks.ai/feature-store-api/latest/javadoc">Feature Store JavaDoc</a> <a id="hsml_api_link" href="https://docs.hopsworks.ai/machine-learning-api/latest">MLOps API</a> </div></div>:
-    - Feature Store API Reference:
-      - Connection: generated/api/connection_api.md
-      - ExpectationSuite: generated/api/expectation_suite_api.md
-      - FeatureStore: generated/api/feature_store_api.md
-      - FeatureGroup: generated/api/feature_group_api.md
-      - ExternalFeatureGroup: generated/api/external_feature_group_api.md
-      - SpineGroup: generated/api/spine_group_api.md
-      - FeatureView: generated/api/feature_view_api.md
-      - TrainingDataset: generated/api/training_dataset_api.md
-      - Storage Connector: generated/api/storage_connector_api.md
-      - Feature: generated/api/feature_api.md
-      - Query: generated/api/query_api.md
-      - Transformation Functions: generated/api/transformation_functions_api.md
-      - ValidationReport: generated/api/validation_report_api.md
-      - Job: generated/api/job.md
-      - Provenance Links: generated/api/links.md
-      - Statistics:
-          - Statistics: generated/api/statistics_api.md
-          - Split Statistics: generated/api/split_statistics_api.md
-          - Feature descriptive statistics: generated/api/feature_descriptive_statistics_api.md
-      - Feature Monitoring:
-          - Configuration: generated/api/feature_monitoring_config_api.md
-          - Result: generated/api/feature_monitoring_result_api.md
-          - Window: generated/api/feature_monitoring_window_config_api.md
-      - Embedding:
-          - EmbeddingIndex: generated/api/embedding_index_api.md
-          - EmbeddingFeature: generated/api/embedding_feature_api.md
-          - SimilarityFunctionType: generated/api/similarity_function_type_api.md
-    # Added to allow navigation using the side drawer
-    - Hopsworks API: https://docs.hopsworks.ai/hopsworks-api/latest/
-    - MLOps API: https://docs.hopsworks.ai/machine-learning-api/latest/
-    - Feature Store JavaDoc: https://docs.hopsworks.ai/feature-store-javadoc/latest/
-    - Contributing: CONTRIBUTING.md
-  - Community ↗: https://community.hopsworks.ai/
-
-theme:
-  name: material
-  custom_dir: docs/overrides
-  favicon: assets/images/favicon.ico
-  logo: assets/images/hops-logo.png
-  icon:
-    repo: fontawesome/brands/github
-  font:
-    text: "Roboto"
-    code: "IBM Plex Mono"
-  palette:
-    accent: teal
-    scheme: hopsworks
-  features:
-    - navigation.tabs
-    - navigation.tabs.sticky
-    - navigation.sections
-    - navigation.indexes
-
-extra:
-  analytics:
-    provider: google
-    property: G-64FEEXPSDN
-  generator: false
-  version:
-    - provider: mike
-    - default: latest
-  social:
-    - icon: fontawesome/brands/twitter
-      link: https://twitter.com/logicalclocks
-    - icon: fontawesome/brands/github
-      link: https://github.com/logicalclocks/hopsworks
-    - icon: fontawesome/brands/discourse
-      link: https://community.hopsworks.ai/
-    - icon: fontawesome/brands/linkedin
-      link: https://www.linkedin.com/company/logicalclocks/
-
-extra_css:
-    - css/custom.css
-    - css/version-select.css
-    - css/dropdown.css
-    - css/marctech.css
-
-extra_javascript:
-    - js/version-select.js
-    - js/inject-api-links.js
-    - js/dropdown.js
-
-plugins:
-    - search
-    - minify:
-        minify_html: true
-        minify_css: true
-        minify_js: true
-    - mike:
-        canonical_version: latest
-
-markdown_extensions:
-    - admonition
-    - codehilite
-    - footnotes
-    - pymdownx.tabbed:
-        alternate_style: true
-    - pymdownx.arithmatex
-    - pymdownx.superfences
-    - pymdownx.details
-    - pymdownx.caret
-    - pymdownx.mark
-    - pymdownx.tilde
-    - pymdownx.critic
-    - toc:
-        permalink: "#"
-    - pymdownx.tasklist:
-        custom_checkbox: true
-    - markdown_include.include:
-        base_path: docs
diff --git a/hsfs/requirements-docs.txt b/hsfs/requirements-docs.txt
deleted file mode 100644
index 2a2e7927b..000000000
--- a/hsfs/requirements-docs.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-mkdocs==1.5.3
-mkdocs-material==9.5.17
-mike==2.0.0
-sphinx==7.3.7
-keras_autodoc @ git+https://git@github.com/logicalclocks/keras-autodoc
-markdown-include==0.8.1
-mkdocs-jupyter==0.24.3
-markdown==3.6
-pymdown-extensions==10.7.1
-mkdocs-macros-plugin==1.0.4
-mkdocs-minify-plugin>=0.2.0
-
diff --git a/hsml/auto_doc.py b/hsml/auto_doc.py
deleted file mode 100644
index 4c7ae26ee..000000000
--- a/hsml/auto_doc.py
+++ /dev/null
@@ -1,210 +0,0 @@
-#
-#   Copyright 2021 Logical Clocks AB
-#
-#   Licensed under the Apache License, Version 2.0 (the "License");
-#   you may not use this file except in compliance with the License.
-#   You may obtain a copy of the License at
-#
-#       http://www.apache.org/licenses/LICENSE-2.0
-#
-#   Unless required by applicable law or agreed to in writing, software
-#   distributed under the License is distributed on an "AS IS" BASIS,
-#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-#   See the License for the specific language governing permissions and
-#   limitations under the License.
-#
-
-import pathlib
-import shutil
-import os
-import keras_autodoc
-
-JSON_METHODS = [
-    "extract_fields_from_json",
-    "from_json",
-    "from_response_json",
-    "json",
-    "update_from_response_json",
-]
-
-PAGES = {
-    # Model registry
-    "connection_api.md": {
-        "connection": ["hsml.connection.Connection"],
-        "connection_properties": keras_autodoc.get_properties(
-            "hsml.connection.Connection", exclude=["trust_store_path"]
-        ),
-        "connection_methods": keras_autodoc.get_methods("hsml.connection.Connection"),
-    },
-    "model-registry/model_registry_api.md": {
-        "mr_get": ["hsml.connection.Connection.get_model_registry"],
-        "mr_modules": keras_autodoc.get_properties(
-            "hsml.model_registry.ModelRegistry",
-            exclude=[
-                "project_id",
-                "project_name",
-                "model_registry_id",
-                "shared_registry_project_name",
-            ],
-        ),
-        "mr_properties": keras_autodoc.get_properties(
-            "hsml.model_registry.ModelRegistry",
-            exclude=[
-                "python",
-                "sklearn",
-                "tensorflow",
-                "torch",
-            ],
-        ),
-        "mr_methods": keras_autodoc.get_methods(
-            "hsml.model_registry.ModelRegistry", exclude=["from_response_json"]
-        ),
-    },
-    "model-registry/model_api.md": {
-        "ml_create_tf": ["hsml.model_registry.ModelRegistry.tensorflow.create_model"],
-        "ml_create_th": ["hsml.model_registry.ModelRegistry.torch.create_model"],
-        "ml_create_sl": ["hsml.model_registry.ModelRegistry.sklearn.create_model"],
-        "ml_create_py": ["hsml.model_registry.ModelRegistry.python.create_model"],
-        "ml_get": ["hsml.model_registry.ModelRegistry.get_model"],
-        "ml_properties": keras_autodoc.get_properties("hsml.model.Model"),
-        "ml_methods": keras_autodoc.get_methods(
-            "hsml.model.Model",
-            exclude=[
-                "from_response_json",
-                "json",
-                "to_dict",
-                "update_from_response_json",
-            ],
-        ),
-    },
-    "model-registry/model_schema.md": {},
-    "model-registry/model_schema_api.md": {
-        "schema": ["hsml.schema.Schema"],
-        "schema_dict": ["hsml.schema.Schema.to_dict"],
-        "model_schema": ["hsml.model_schema.ModelSchema"],
-        "model_schema_dict": ["hsml.model_schema.ModelSchema.to_dict"],
-    },
-    "model-registry/links.md": {
-        "links_properties": keras_autodoc.get_properties(
-            "hsml.core.explicit_provenance.Links"
-        ),
-        "artifact_properties": keras_autodoc.get_properties(
-            "hsml.core.explicit_provenance.Artifact"
-        ),
-    },
-    # Model Serving
-    "model-serving/model_serving_api.md": {
-        "ms_get": ["hsml.connection.Connection.get_model_serving"],
-        "ms_properties": keras_autodoc.get_properties(
-            "hsml.model_serving.ModelServing"
-        ),
-        "ms_methods": keras_autodoc.get_methods(
-            "hsml.model_serving.ModelServing", exclude=["from_response_json"]
-        ),
-    },
-    "model-serving/deployment_api.md": {
-        "ms_get_model_serving": ["hsml.connection.Connection.get_model_serving"],
-        "ms_get_deployments": [
-            "hsml.model_serving.ModelServing.get_deployment",
-            "hsml.model_serving.ModelServing.get_deployment_by_id",
-            "hsml.model_serving.ModelServing.get_deployments",
-        ],
-        "ms_create_deployment": ["hsml.model_serving.ModelServing.create_deployment"],
-        "m_deploy": ["hsml.model.Model.deploy"],
-        "p_deploy": ["hsml.predictor.Predictor.deploy"],
-        "dep_properties": keras_autodoc.get_properties("hsml.deployment.Deployment"),
-        "dep_methods": keras_autodoc.get_methods(
-            "hsml.deployment.Deployment", exclude=JSON_METHODS + ["from_predictor"]
-        ),
-    },
-    "model-serving/predictor_api.md": {
-        "ms_get_model_serving": ["hsml.connection.Connection.get_model_serving"],
-        "ms_create_predictor": ["hsml.model_serving.ModelServing.create_predictor"],
-        "pred_properties": keras_autodoc.get_properties("hsml.predictor.Predictor"),
-        "pred_methods": keras_autodoc.get_methods(
-            "hsml.predictor.Predictor",
-            exclude=JSON_METHODS + ["for_model"],
-        ),
-    },
-    "model-serving/transformer_api.md": {
-        "ms_get_model_serving": ["hsml.connection.Connection.get_model_serving"],
-        "ms_create_transformer": ["hsml.model_serving.ModelServing.create_transformer"],
-        "trans_properties": keras_autodoc.get_properties(
-            "hsml.transformer.Transformer"
-        ),
-        "trans_methods": keras_autodoc.get_methods(
-            "hsml.transformer.Transformer", exclude=JSON_METHODS
-        ),
-    },
-    "model-serving/inference_logger_api.md": {
-        "il": ["hsml.inference_logger.InferenceLogger"],
-        "il_properties": keras_autodoc.get_properties(
-            "hsml.inference_logger.InferenceLogger"
-        ),
-        "il_methods": keras_autodoc.get_methods(
-            "hsml.inference_logger.InferenceLogger", exclude=JSON_METHODS
-        ),
-    },
-    "model-serving/inference_batcher_api.md": {
-        "ib": ["hsml.inference_batcher.InferenceBatcher"],
-        "ib_properties": keras_autodoc.get_properties(
-            "hsml.inference_batcher.InferenceBatcher"
-        ),
-        "ib_methods": keras_autodoc.get_methods(
-            "hsml.inference_batcher.InferenceBatcher", exclude=JSON_METHODS
-        ),
-    },
-    "model-serving/resources_api.md": {
-        "res": ["hsml.resources.Resources"],
-        "res_properties": keras_autodoc.get_properties("hsml.resources.Resources"),
-        "res_methods": keras_autodoc.get_methods(
-            "hsml.resources.Resources", exclude=JSON_METHODS
-        ),
-    },
-    "model-serving/predictor_state_api.md": {
-        "ps_get": ["hsml.deployment.Deployment.get_state"],
-        "ps_properties": keras_autodoc.get_properties(
-            "hsml.predictor_state.PredictorState"
-        ),
-        "ps_methods": keras_autodoc.get_methods(
-            "hsml.predictor_state.PredictorState", exclude=JSON_METHODS
-        ),
-    },
-    "model-serving/predictor_state_condition_api.md": {
-        "psc_get": ["hsml.predictor_state.PredictorState.condition"],
-        "psc_properties": keras_autodoc.get_properties(
-            "hsml.predictor_state_condition.PredictorStateCondition"
-        ),
-        "psc_methods": keras_autodoc.get_methods(
-            "hsml.predictor_state_condition.PredictorStateCondition",
-            exclude=JSON_METHODS,
-        ),
-    },
-}
-
-hsml_dir = pathlib.Path(__file__).resolve().parents[0]
-if "GITHUB_SHA" in os.environ:
-    commit_sha = os.environ["GITHUB_SHA"]
-    project_url = f"https://github.com/logicalclocks/machine-learning-api/tree/{commit_sha}/python"
-else:
-    branch_name = os.environ.get("GITHUB_BASE_REF", "master")
-    project_url = f"https://github.com/logicalclocks/machine-learning-api/blob/{branch_name}/python"
-
-
-def generate(dest_dir):
-    doc_generator = keras_autodoc.DocumentationGenerator(
-        PAGES,
-        project_url=project_url,
-        template_dir="./docs/templates",
-        titles_size="###",
-        extra_aliases={},
-        max_signature_line_length=100,
-    )
-    shutil.copyfile(hsml_dir / "CONTRIBUTING.md", dest_dir / "CONTRIBUTING.md")
-    shutil.copyfile(hsml_dir / "README.md", dest_dir / "index.md")
-
-    doc_generator.generate(dest_dir / "generated")
-
-
-if __name__ == "__main__":
-    generate(hsml_dir / "docs")
diff --git a/hsml/docs/CONTRIBUTING.md b/hsml/docs/CONTRIBUTING.md
deleted file mode 100644
index b287467c6..000000000
--- a/hsml/docs/CONTRIBUTING.md
+++ /dev/null
@@ -1,215 +0,0 @@
-## Python development setup
----
-
-- Fork and clone the repository
-
-- Create a new Python environment with your favourite environment manager, e.g. virtualenv or conda
-
-- Install repository in editable mode with development dependencies:
-
-    ```bash
-    cd python
-    pip install -e ".[dev]"
-    ```
-
-- Install [pre-commit](https://pre-commit.com/) and then activate its hooks. pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. The Model Registry uses pre-commit to ensure code-style and code formatting through [ruff](https://docs.astral.sh/ruff/). Run the following commands from the `python` directory:
-
-    ```bash
-    cd python
-    pip install --user pre-commit
-    pre-commit install
-    ```
-
-  Afterwards, pre-commit will run whenever you commit.
-
-- To run formatting and code-style separately, you can configure your IDE, such as VSCode, to use [ruff](https://docs.astral.sh/ruff/tutorial/#getting-started):
-
-    ```bash
-    cd python
-    ruff check --fix
-    ruff format
-    ```
-
-### Python documentation
-
-We follow a few best practices for writing the Python documentation:
-
-1. Use the google docstring style:
-
-    ```python
-    """[One Line Summary]
-
-    [Extended Summary]
-
-    [!!! example
-        import xyz
-    ]
-
-    # Arguments
-        arg1: Type[, optional]. Description[, defaults to `default`]
-        arg2: Type[, optional]. Description[, defaults to `default`]
-
-    # Returns
-        Type. Description.
-
-    # Raises
-        Exception. Description.
-    """
-    ```
-
-    If Python 3 type annotations are used, they are inserted automatically.
-
-
-2. Model registry entity engine methods (e.g. ModelEngine etc.) only require a single line docstring.
-3. REST Api implementations (e.g. ModelApi etc.) should be fully documented with docstrings without defaults.
-4. Public Api such as metadata objects should be fully documented with defaults.
-
-#### Setup and Build Documentation
-
-We use `mkdocs` together with `mike` ([for versioning](https://github.com/jimporter/mike/)) to build the documentation and a plugin called `keras-autodoc` to auto generate Python API documentation from docstrings.
-
-**Background about `mike`:**
-    `mike` builds the documentation and commits it as a new directory to the gh-pages branch. Each directory corresponds to one version of the documentation. Additionally, `mike` maintains a json in the root of gh-pages with the mappings of versions/aliases for each of the directories available. With aliases you can define extra names like `dev` or `latest`, to indicate stable and unstable releases.
-
-1. Currently we are using our own version of `keras-autodoc`
-
-    ```bash
-    pip install git+https://github.com/logicalclocks/keras-autodoc
-    ```
-
-2. Install HSML with `docs` extras:
-
-    ```bash
-    pip install -e .[dev,docs]
-    ```
-
-3. To build the docs, first run the auto doc script:
-
-    ```bash
-    cd ..
-    python auto_doc.py
-    ```
-
-##### Option 1: Build only current version of docs
-
-4. Either build the docs, or serve them dynamically:
-
-    Note: Links and pictures might not resolve properly later on when checking with this build.
-    The reason for that is that the docs are deployed with versioning on docs.hopsworks.ai and
-    therefore another level is added to all paths, e.g. `docs.hopsworks.ai/[version-or-alias]`.
-    Using relative links should not be affected by this, however, building the docs with version
-    (Option 2) is recommended.
-
-    ```bash
-    mkdocs build
-    # or
-    mkdocs serve
-    ```
-
-##### Option 2 (Preferred): Build multi-version doc with `mike`
-
-###### Versioning on docs.hopsworks.ai
-
-On docs.hopsworks.ai we implement the following versioning scheme:
-
-- current master branches (e.g. of hsml corresponding to master of Hopsworks): rendered as current Hopsworks snapshot version, e.g. **2.2.0-SNAPSHOT [dev]**, where `dev` is an alias to indicate that this is an unstable version.
-- the latest release: rendered with full current version, e.g. **2.1.5 [latest]** with `latest` alias to indicate that this is the latest stable release.
-- previous stable releases: rendered without alias, e.g. **2.1.4**.
-
-###### Build Instructions
-
-4. For this you can either checkout and make a local copy of the `upstream/gh-pages` branch, where
-`mike` maintains the current state of docs.hopsworks.ai, or just build documentation for the branch you are updating:
-
-    Building *one* branch:
-
-    Checkout your dev branch with modified docs:
-    ```bash
-    git checkout [dev-branch]
-    ```
-
-    Generate API docs if necessary:
-    ```bash
-    python auto_doc.py
-    ```
-
-    Build docs with a version and alias
-    ```bash
-    mike deploy [version] [alias] --update-alias
-
-    # for example, if you are updating documentation to be merged to master,
-    # which will become the new SNAPSHOT version:
-    mike deploy 2.2.0-SNAPSHOT dev --update-alias
-
-    # if you are updating docs of the latest stable release branch
-    mike deploy [version] latest --update-alias
-
-    # if you are updating docs of a previous stable release branch
-    mike deploy [version]
-    ```
-
-    If no gh-pages branch existed in your local repository, this will have created it.
-
-    **Important**: If no previous docs were built, you will have to choose a version as default to be loaded as index, as follows
-
-    ```bash
-    mike set-default [version-or-alias]
-    ```
-
-    You can now checkout the gh-pages branch and serve:
-    ```bash
-    git checkout gh-pages
-    mike serve
-    ```
-
-    You can also list all available versions/aliases:
-    ```bash
-    mike list
-    ```
-
-    Delete and reset your local gh-pages branch:
-    ```bash
-    mike delete --all
-
-    # or delete single version
-    mike delete [version-or-alias]
-    ```
-
-#### Adding new API documentation
-
-To add new documentation for APIs, you need to add information about the method/class to document to the `auto_doc.py` script:
-
-```python
-PAGES = {
-    "connection.md": [
-        "hsml.connection.Connection.connection",
-        "hsml.connection.Connection.setup_databricks",
-    ]
-    "new_template.md": [
-            "module",
-            "xyz.asd"
-    ]
-}
-```
-
-Now you can add a template markdown file to the `docs/templates` directory with the name you specified in the auto-doc script. The `new_template.md` file should contain a tag to identify the place at which the API documentation should be inserted:
-
-```
-## The XYZ package
-
-{{module}}
-
-Some extra content here.
-
-!!! example
-    ```python
-    import xyz
-    ```
-
-{{xyz.asd}}
-```
-
-Finally, run the `auto_doc.py` script, as decribed above, to update the documentation.
-
-For information about Markdown syntax and possible Admonitions/Highlighting etc. see
-the [Material for Mkdocs themes reference documentation](https://squidfunk.github.io/mkdocs-material/reference/abbreviations/).
diff --git a/hsml/docs/assets/images/favicon.ico b/hsml/docs/assets/images/favicon.ico
deleted file mode 100644
index ab7573067..000000000
Binary files a/hsml/docs/assets/images/favicon.ico and /dev/null differ
diff --git a/hsml/docs/assets/images/hops-logo.png b/hsml/docs/assets/images/hops-logo.png
deleted file mode 100644
index d3625ae07..000000000
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diff --git a/hsml/docs/css/custom.css b/hsml/docs/css/custom.css
deleted file mode 100644
index 5ba3208e1..000000000
--- a/hsml/docs/css/custom.css
+++ /dev/null
@@ -1,115 +0,0 @@
-[data-md-color-scheme="hopsworks"] {
-  --md-primary-fg-color: #1EB382;
-  --md-secondary-fg-color: #188a64;
-  --md-tertiary-fg-color: #0d493550;
-  --md-quaternary-fg-color: #fdfdfd;
-  --border-radius-variable: 5px;
-}
-
-.md-footer__inner:not([hidden]) {
-  display: none
-}
-
-/* Lex did stuff here */
-.svg_topnav{
-  width: 12px;
-  filter: invert(100);
-}
-.svg_topnav:hover{
-  width: 12px;
-  filter: invert(10);
-}
-
-.md-header[data-md-state=shadow] {
-  box-shadow: 0 0 0 0;
-}
-
-.md-tabs__item {
-  min-width: 2.25rem;
-}
-
-.md-tabs__item:hover {
-  background-color: var(--md-tertiary-fg-color);
-  transition: background-color 450ms;
-
-}
-
-/*
-.md-sidebar__scrollwrap{
-  background-color: var(--md-quaternary-fg-color);
-  padding: 15px 5px 5px 5px;
-  border-radius: var(--border-radius-variable);
-}
-*/
-.md-nav__link:focus{
-}
-
-.image_logo_02{
-  width:450px;
-}
-
-/* End of Lex did stuff here */
-
-.md-header__button.md-logo {
-  margin: .1rem;
-  padding: .1rem;
-}
-
-.md-header__button.md-logo img, .md-header__button.md-logo svg {
-  display: block;
-  width: 1.8rem;
-  height: 1.8rem;
-  fill: currentColor;
-}
-
-.md-tabs {
-  width: 100%;
-  overflow: auto;
-  color: var(--md-primary-bg-color);
-  background-color: var(--md-secondary-fg-color);
-  transition: background-color 250ms;
-}
-
-
-.wrapper {
-  display: grid;
-  grid-template-columns: repeat(4, 1fr);
-  gap: 10px;
-  grid-auto-rows: minmax(100px, auto);
-}
-
-.wrapper * {
-    border: 2px solid green;
-    text-align: center;
-    padding: 70px 0;
-}
-
-.one {
-  grid-column: 1 / 2;
-  grid-row: 1;
-}
-.two {
-  grid-column: 2 / 3;
-  grid-row: 1;
-}
-.three {
-  grid-column: 3 / 4;
-  grid-row: 1;
-}
-.four {
-  grid-column: 4 / 5;
-  grid-row: 1;
-}
-.five {
-  grid-column: 1 / 3;
-  grid-row: 2;
-}
-.six {
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-}
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-/* Jupyter Stuff */
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diff --git a/hsml/docs/css/dropdown.css b/hsml/docs/css/dropdown.css
deleted file mode 100644
index 886858909..000000000
--- a/hsml/docs/css/dropdown.css
+++ /dev/null
@@ -1,55 +0,0 @@
-/* Style The Dropdown Button */
-.dropbtn {
-  color: white;
-  border: none;
-  cursor: pointer;
-}
-
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-}
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-}
-.md-header {
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-}
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-/* The container <div> - needed to position the dropdown content */
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-  display: inline-block;
-}
-
-/* Dropdown Content (Hidden by Default) */
-.dropdown-content {
-  display:none;
-  font-size: 13px;
-  position: absolute;
-  background-color: #f9f9f9;
-  min-width: 160px;
-  box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2);
-  z-index: 1000;
-  border-radius: 2px;
-  left:-15px;
-}
-
-/* Links inside the dropdown */
-.dropdown-content a {
-  color: black;
-  padding: 12px 16px;
-  text-decoration: none;
-  display: block;
-}
-
-/* Change color of dropdown links on hover */
-.dropdown-content a:hover {background-color: #f1f1f1}
-
-/* Show the dropdown menu on hover */
-.dropdown:hover .dropdown-content {
-  display: block;
-}
-
-/* Change the background color of the dropdown button when the dropdown content is shown */
-.dropdown:hover .dropbtn {
-}
diff --git a/hsml/docs/css/marctech.css b/hsml/docs/css/marctech.css
deleted file mode 100644
index 8bb58c97b..000000000
--- a/hsml/docs/css/marctech.css
+++ /dev/null
@@ -1,1047 +0,0 @@
-:root {
-    --md-primary-fg-color: #1EB382;
-    --md-secondary-fg-color: #188a64;
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-    --border-width:1px;
-  }
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-  .marctech_main a{
-    color: var(--md-fiftuary-fg-color);
-    border-bottom: 1px dotted var(--md-fiftuary-fg-color) !important;
-    text-decoration: dotted !important;}
-
-  .marctech_main a:hover{
-    border-bottom: 1px dotted var(--md-primary-fg-color)!important;
-  }
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-  .marctech_main a:visited{
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-
-  }
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-    -ms-grid-row-span: 1;
-    grid-row-end: span 1;
-  }
-
-
-  /*
-
-
-  inherited from the original template
-
-  */
-
-  .w-container .w-row {
-    margin-left: -10px;
-    margin-right: -10px;
-  }
-  .w-row:before,
-  .w-row:after {
-    content: " ";
-    display: table;
-    grid-column-start: 1;
-    grid-row-start: 1;
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-    grid-row-end: 2;
-  }
-  .w-row:after {
-    clear: both;
-  }
-  .w-row .w-row {
-    margin-left: 0;
-    margin-right: 0;
-  }
-  .w-col {
-    position: relative;
-    float: left;
-    width: 100%;
-    min-height: 1px;
-    padding-left: 10px;
-    padding-right: 10px;
-  }
-  .w-col .w-col {
-    padding-left: 0;
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-  .w-col-12 {
-    width: 100%;
-  }
-  .w-hidden-main {
-    display: none !important;
-  }
-  @media screen and (max-width: 991px) {
-    .w-container {
-      max-width: 728px;
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-    .w-hidden-main {
-      display: inherit !important;
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-    .w-hidden-medium {
-      display: none !important;
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-    .w-col-medium-12 {
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-    .w-col-stack {
-      width: 100%;
-      left: auto;
-      right: auto;
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-  }
-  @media screen and (max-width: 767px) {
-    .w-hidden-main {
-      display: inherit !important;
-    }
-    .w-hidden-medium {
-      display: inherit !important;
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-    .w-hidden-small {
-      display: none !important;
-    }
-    .w-row,
-    .w-container .w-row {
-      margin-left: 0;
-      margin-right: 0;
-    }
-    .w-col {
-      width: 100%;
-      left: auto;
-      right: auto;
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-      width: 66.66666667%;
-    }
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-    .w-container {
-      max-width: none;
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-      display: inherit !important;
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-      display: inherit !important;
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-      display: none !important;
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diff --git a/hsml/docs/css/version-select.css b/hsml/docs/css/version-select.css
deleted file mode 100644
index 3b908ae84..000000000
--- a/hsml/docs/css/version-select.css
+++ /dev/null
@@ -1,36 +0,0 @@
-@media only screen and (max-width:76.1875em) {
-}
-
-#version-selector select.form-control  {
-  	appearance: none;
-    -webkit-appearance: none;
-    -moz-appearance: none;
-
-    background-color: #F5F5F5;
-
-    background-position: center right;
-    background-repeat: no-repeat;
-    border: 0px;
-    border-radius: 2px;
-    /* box-shadow: 0px 1px 3px rgb(0 0 0 / 10%); */
-    color: inherit;
-    width: -webkit-fill-available;
-    width: -moz-available;
-    max-width: 200px;
-    font-size: inherit;
-    /* font-weight: 600; */
-    margin: 10px;
-    overflow: hidden;
-    padding: 7px 10px;
-    text-overflow: ellipsis;
-    white-space: nowrap;
-}
-
-#version-selector::after {
-    content: '⌄';
-    font-family: inherit;
-    font-size: 22px;
-    margin: -35px;
-    vertical-align: 7%;
-    padding-bottom: 10px;
-}
diff --git a/hsml/docs/index.md b/hsml/docs/index.md
deleted file mode 100644
index ee835ddc7..000000000
--- a/hsml/docs/index.md
+++ /dev/null
@@ -1,141 +0,0 @@
-# Hopsworks Model Management
-
-<p align="center">
-  <a href="https://community.hopsworks.ai"><img
-    src="https://img.shields.io/discourse/users?label=Hopsworks%20Community&server=https%3A%2F%2Fcommunity.hopsworks.ai"
-    alt="Hopsworks Community"
-  /></a>
-    <a href="https://docs.hopsworks.ai"><img
-    src="https://img.shields.io/badge/docs-HSML-orange"
-    alt="Hopsworks Model Management Documentation"
-  /></a>
-  <a><img
-    src="https://img.shields.io/badge/python-3.8+-blue"
-    alt="python"
-  /></a>
-  <a href="https://pypi.org/project/hsml/"><img
-    src="https://img.shields.io/pypi/v/hsml?color=blue"
-    alt="PyPiStatus"
-  /></a>
-  <a href="https://archiva.hops.works/#artifact/com.logicalclocks/hsml"><img
-    src="https://img.shields.io/badge/java-HSML-green"
-    alt="Scala/Java Artifacts"
-  /></a>
-  <a href="https://pepy.tech/project/hsml/month"><img
-    src="https://pepy.tech/badge/hsml/month"
-    alt="Downloads"
-  /></a>
-  <a href=https://github.com/astral-sh/ruff><img
-    src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json"
-    alt="Ruff"
-  /></a>
-  <a><img
-    src="https://img.shields.io/pypi/l/hsml?color=green"
-    alt="License"
-  /></a>
-</p>
-
-HSML is the library to interact with the Hopsworks Model Registry and Model Serving. The library makes it easy to export, manage and deploy models.
-
-However, to connect from an external Python environment additional connection information, such as host and port, is required.
-
-## Getting Started On Hopsworks
-
-Get started easily by registering an account on [Hopsworks Serverless](https://app.hopsworks.ai/). Create your project and a [new Api key](https://docs.hopsworks.ai/latest/user_guides/projects/api_key/create_api_key/). In a new python environment with Python 3.8 or higher, install the [client library](https://docs.hopsworks.ai/latest/user_guides/client_installation/) using pip:
-
-```bash
-# Get all Hopsworks SDKs: Feature Store, Model Serving and Platform SDK
-pip install hopsworks
-# or just the Model Registry and Model Serving SDK
-pip install hsml
-```
-
-You can start a notebook and instantiate a connection and get the project feature store handler.
-
-```python
-import hopsworks
-
-project = hopsworks.login() # you will be prompted for your api key
-
-mr = project.get_model_registry()
-# or
-ms = project.get_model_serving()
-```
-
-or using `hsml` directly:
-
-```python
-import hsml
-
-connection = hsml.connection(
-    host="c.app.hopsworks.ai", #
-    project="your-project",
-    api_key_value="your-api-key",
-)
-
-mr = connection.get_model_registry()
-# or
-ms = connection.get_model_serving()
-```
-
-Create a new model
-```python
-model = mr.tensorflow.create_model(name="mnist",
-                                   version=1,
-                                   metrics={"accuracy": 0.94},
-                                   description="mnist model description")
-model.save("/tmp/model_directory") # or /tmp/model_file
-```
-
-Download a model
-```python
-model = mr.get_model("mnist", version=1)
-
-model_path = model.download()
-```
-
-Delete a model
-```python
-model.delete()
-```
-
-Get best performing model
-```python
-best_model = mr.get_best_model('mnist', 'accuracy', 'max')
-
-```
-
-Deploy a model
-```python
-deployment = model.deploy()
-```
-
-Start a deployment
-```python
-deployment.start()
-```
-
-Make predictions with a deployed model
-```python
-data = { "instances": [ model.input_example ] }
-
-predictions = deployment.predict(data)
-```
-
-# Tutorials
-
-You can find more examples on how to use the library in our [tutorials](https://github.com/logicalclocks/hopsworks-tutorials).
-
-## Documentation
-
-Documentation is available at [Hopsworks Model Management Documentation](https://docs.hopsworks.ai/).
-
-## Issues
-
-For general questions about the usage of Hopsworks Machine Learning please open a topic on [Hopsworks Community](https://community.hopsworks.ai/).
-Please report any issue using [Github issue tracking](https://github.com/logicalclocks/machine-learning-api/issues).
-
-
-## Contributing
-
-If you would like to contribute to this library, please see the [Contribution Guidelines](CONTRIBUTING.md).
diff --git a/hsml/docs/js/dropdown.js b/hsml/docs/js/dropdown.js
deleted file mode 100644
index b897ba36a..000000000
--- a/hsml/docs/js/dropdown.js
+++ /dev/null
@@ -1,2 +0,0 @@
-document.getElementsByClassName("md-tabs__link")[7].style.display = "none";
-document.getElementsByClassName("md-tabs__link")[9].style.display = "none";
\ No newline at end of file
diff --git a/hsml/docs/js/inject-api-links.js b/hsml/docs/js/inject-api-links.js
deleted file mode 100644
index 6c8a4a3b3..000000000
--- a/hsml/docs/js/inject-api-links.js
+++ /dev/null
@@ -1,31 +0,0 @@
-window.addEventListener("DOMContentLoaded", function () {
-    var windowPathNameSplits = window.location.pathname.split("/");
-    var majorVersionRegex = new RegExp("(\\d+[.]\\d+)")
-    var latestRegex = new RegExp("latest");
-    if (majorVersionRegex.test(windowPathNameSplits[1])) { // On landing page docs.hopsworks.api/3.0 - URL contains major version
-        // Version API dropdown
-        document.getElementById("hopsworks_api_link").href = "https://docs.hopsworks.ai/hopsworks-api/" + windowPathNameSplits[1] + "/generated/api/login/";
-        document.getElementById("hsfs_api_link").href = "https://docs.hopsworks.ai/feature-store-api/" + windowPathNameSplits[1] + "/generated/api/connection_api/";
-        document.getElementById("hsml_api_link").href = "https://docs.hopsworks.ai/machine-learning-api/" + windowPathNameSplits[1] + "/generated/connection_api/";
-    } else { // on docs.hopsworks.api/feature-store-api/3.0 / docs.hopsworks.api/hopsworks-api/3.0 / docs.hopsworks.api/machine-learning-api/3.0
-        if (latestRegex.test(windowPathNameSplits[2]) || latestRegex.test(windowPathNameSplits[1])) {
-          var majorVersion = "latest";
-        } else {
-          var apiVersion = windowPathNameSplits[2];
-          var majorVersion = apiVersion.match(majorVersionRegex)[0];
-        }
-        // Version main navigation
-        document.getElementsByClassName("md-tabs__link")[0].href = "https://docs.hopsworks.ai/" + majorVersion;
-        document.getElementsByClassName("md-tabs__link")[1].href = "https://colab.research.google.com/github/logicalclocks/hopsworks-tutorials/blob/master/quickstart.ipynb";
-        document.getElementsByClassName("md-tabs__link")[2].href = "https://docs.hopsworks.ai/" + majorVersion + "/tutorials/";
-        document.getElementsByClassName("md-tabs__link")[3].href = "https://docs.hopsworks.ai/" + majorVersion + "/concepts/hopsworks/";
-        document.getElementsByClassName("md-tabs__link")[4].href = "https://docs.hopsworks.ai/" + majorVersion + "/user_guides/";
-        document.getElementsByClassName("md-tabs__link")[5].href = "https://docs.hopsworks.ai/" + majorVersion + "/setup_installation/aws/getting_started/";
-        document.getElementsByClassName("md-tabs__link")[6].href = "https://docs.hopsworks.ai/" + majorVersion + "/admin/";
-        // Version API dropdown
-        document.getElementById("hopsworks_api_link").href = "https://docs.hopsworks.ai/hopsworks-api/" + majorVersion + "/generated/api/login/";
-        document.getElementById("hsfs_api_link").href = "https://docs.hopsworks.ai/feature-store-api/" + majorVersion + "/generated/api/connection_api/";
-        document.getElementById("hsfs_javadoc_link").href = "https://docs.hopsworks.ai/feature-store-api/" + majorVersion + "/javadoc";
-        document.getElementById("hsml_api_link").href = "https://docs.hopsworks.ai/machine-learning-api/" + majorVersion + "/generated/connection_api/";
-    }
-});
diff --git a/hsml/docs/js/version-select.js b/hsml/docs/js/version-select.js
deleted file mode 100644
index 9c8331660..000000000
--- a/hsml/docs/js/version-select.js
+++ /dev/null
@@ -1,64 +0,0 @@
-window.addEventListener("DOMContentLoaded", function() {
-  // This is a bit hacky. Figure out the base URL from a known CSS file the
-  // template refers to...
-  var ex = new RegExp("/?css/version-select.css$");
-  var sheet = document.querySelector('link[href$="version-select.css"]');
-
-  var ABS_BASE_URL = sheet.href.replace(ex, "");
-  var CURRENT_VERSION = ABS_BASE_URL.split("/").pop();
-
-  function makeSelect(options, selected) {
-    var select = document.createElement("select");
-    select.classList.add("form-control");
-
-    options.forEach(function(i) {
-      var option = new Option(i.text, i.value, undefined,
-                              i.value === selected);
-      select.add(option);
-    });
-
-    return select;
-  }
-
-  var xhr = new XMLHttpRequest();
-  xhr.open("GET", ABS_BASE_URL + "/../versions.json");
-  xhr.onload = function() {
-    var versions = JSON.parse(this.responseText);
-
-    var realVersion = versions.find(function(i) {
-      return i.version === CURRENT_VERSION ||
-             i.aliases.includes(CURRENT_VERSION);
-    }).version;
-    var latestVersion = versions.find(function(i) {
-      return i.aliases.includes("latest");
-    }).version;
-    let outdated_banner = document.querySelector('div[data-md-color-scheme="default"][data-md-component="outdated"]');
-    if (realVersion !== latestVersion) {
-      outdated_banner.removeAttribute("hidden");
-    } else {
-      outdated_banner.setAttribute("hidden", "");
-    }
-
-    var select = makeSelect(versions.map(function(i) {
-      var allowedAliases = ["dev", "latest"]
-      if (i.aliases.length > 0) {
-        var aliasString = " [" + i.aliases.filter(function (str) { return allowedAliases.includes(str); }).join(", ") + "]";
-      } else {
-        var aliasString = "";
-      }
-      return {text: i.title + aliasString, value: i.version};
-    }), realVersion);
-    select.addEventListener("change", function(event) {
-      window.location.href = ABS_BASE_URL + "/../" + this.value + "/generated/connection_api/";
-    });
-
-    var container = document.createElement("div");
-    container.id = "version-selector";
-    // container.className = "md-nav__item";
-    container.appendChild(select);
-
-    var sidebar = document.querySelector(".md-nav--primary > .md-nav__list");
-    sidebar.parentNode.insertBefore(container, sidebar.nextSibling);
-  };
-  xhr.send();
-});
diff --git a/hsml/docs/overrides/main.html b/hsml/docs/overrides/main.html
deleted file mode 100644
index a1bc45bb5..000000000
--- a/hsml/docs/overrides/main.html
+++ /dev/null
@@ -1,8 +0,0 @@
-{% extends "base.html" %}
-
-{% block outdated %}
-You're not viewing the latest version of the documentation.
-<a href="{{ 'https://docs.hopsworks.ai/latest/' }}">
-    <strong>Click here to go to latest.</strong>
-</a>
-{% endblock %}
\ No newline at end of file
diff --git a/hsml/mkdocs.yml b/hsml/mkdocs.yml
deleted file mode 100644
index f20a7b1c5..000000000
--- a/hsml/mkdocs.yml
+++ /dev/null
@@ -1,120 +0,0 @@
-site_name: "Hopsworks Documentation"
-site_description: "Official documentation for Hopsworks and its Feature Store - an open source data-intensive AI platform used for the development and operation of machine learning models at scale."
-site_author: "Logical Clocks"
-site_url: "https://docs.hopsworks.ai/machine-learning-api/latest"
-
-# Repository
-repo_name: logicalclocks/hopsworks
-repo_url: https://github.com/logicalclocks/hopsworks
-edit_uri: ""
-
-nav:
-  - Home: https://docs.hopsworks.ai/
-  - Getting Started ↗: https://docs.hopsworks.ai/
-  - Tutorials: https://docs.hopsworks.ai/
-  - Concepts: https://docs.hopsworks.ai/
-  - Guides: https://docs.hopsworks.ai/
-  - Setup and Installation: https://docs.hopsworks.ai/
-  - Administration: https://docs.hopsworks.ai/
-  - API<div class="dropdown"><button class="dropbtn"> API </button> <div id="myDropdown" class="dropdown-content"> <a id="hopsworks_api_link" href="https://docs.hopsworks.ai/hopsworks-api/latest">Hopsworks API</a> <a id="hsfs_api_link" href="https://docs.hopsworks.ai/feature-store-api/latest">Feature Store API</a> <a id="hsfs_javadoc_link" href="https://docs.hopsworks.ai/feature-store-api/latest/javadoc">Feature Store JavaDoc</a> <a id="hsml_api_link" href="https://docs.hopsworks.ai/machine-learning-api/latest">MLOps API</a> </div></div>:
-    - API Reference:
-      - Connection: generated/connection_api.md
-      - Model Registry:
-        - Model Registry: generated/model-registry/model_registry_api.md
-        - Model: generated/model-registry/model_api.md
-        - Model Schema: generated/model-registry/model_schema_api.md
-      - Model Serving:
-        - Model Serving: generated/model-serving/model_serving_api.md
-        - Deployment: generated/model-serving/deployment_api.md
-        - Deployment state: generated/model-serving/predictor_state_api.md
-        - Deployment state condition: generated/model-serving/predictor_state_condition_api.md
-        - Predictor: generated/model-serving/predictor_api.md
-        - Transformer: generated/model-serving/transformer_api.md
-        - Inference Logger: generated/model-serving/inference_logger_api.md
-        - Inference Batcher: generated/model-serving/inference_batcher_api.md
-        - Resources: generated/model-serving/resources_api.md
-      # Added to allow navigation using the side drawer
-      - Hopsworks API: https://docs.hopsworks.ai/
-      - Feature Store API: https://docs.hopsworks.ai/
-      - Feature Store JavaDoc: https://docs.hopsworks.ai/
-      - Contributing: CONTRIBUTING.md
-  - Community ↗: https://community.hopsworks.ai/
-
-theme:
-  name: material
-  custom_dir: docs/overrides
-  favicon: assets/images/favicon.ico
-  logo: assets/images/hops-logo.png
-  icon:
-    repo: fontawesome/brands/github
-  font:
-    text: "Roboto"
-    code: "IBM Plex Mono"
-  palette:
-    accent: teal
-    scheme: hopsworks
-  features:
-    - navigation.tabs
-    - navigation.tabs.sticky
-    - navigation.expand
-
-
-extra:
-  analytics:
-    provider: google
-    property: G-64FEEXPSDN
-  generator: false
-  version:
-    - provider: mike
-    - version: latest
-  social:
-    - icon: fontawesome/brands/twitter
-      link: https://twitter.com/hopsworks
-    - icon: fontawesome/brands/github
-      link: https://github.com/logicalclocks/hopsworks
-    - icon: fontawesome/brands/discourse
-      link: https://community.hopsworks.ai/
-    - icon: fontawesome/brands/linkedin
-      link: https://www.linkedin.com/company/hopsworks/
-
-extra_css:
-  - css/custom.css
-  - css/version-select.css
-  - css/dropdown.css
-  - css/marctech.css
-
-extra_javascript:
-  - js/version-select.js
-  - js/inject-api-links.js
-  - js/dropdown.js
-
-plugins:
-  - search
-  - minify:
-      minify_html: true
-      minify_css: true
-      minify_js: true
-  - mike:
-      canonical_version: latest
-
-markdown_extensions:
-  - admonition
-  - codehilite
-  - footnotes
-  - pymdownx.tabbed:
-      alternate_style: true
-  - pymdownx.arithmatex
-  - pymdownx.superfences
-  - pymdownx.details
-  - pymdownx.caret
-  - pymdownx.mark
-  - pymdownx.tilde
-  - pymdownx.critic
-  - attr_list
-  - md_in_html
-  - toc:
-      permalink: "#"
-  - pymdownx.tasklist:
-      custom_checkbox: true
-  - markdown_include.include:
-      base_path: docs
diff --git a/hsml/requirements-docs.txt b/hsml/requirements-docs.txt
deleted file mode 100644
index d1499a262..000000000
--- a/hsml/requirements-docs.txt
+++ /dev/null
@@ -1,11 +0,0 @@
-mkdocs==1.5.3
-mkdocs-material==9.5.17
-mike==2.0.0
-sphinx==7.2.6
-keras_autodoc @ git+https://git@github.com/logicalclocks/keras-autodoc
-markdown-include==0.8.1
-mkdocs-jupyter==0.24.3
-markdown==3.6
-pymdown-extensions==10.7.1
-mkdocs-macros-plugin==1.0.4
-mkdocs-minify-plugin>=0.2.0
diff --git a/mkdocs.yml b/mkdocs.yml
index ace10ae11..f59e2e4bc 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -34,9 +34,50 @@ nav:
       - KafkaSchema: generated/api/kafka_schema.md
       - Secrets: generated/api/secrets.md
       - OpenSearch: generated/api/opensearch.md
+      - Connection (HSFS): generated/api/connection_api.md
+      - ExpectationSuite: generated/api/expectation_suite_api.md
+      - FeatureStore: generated/api/feature_store_api.md
+      - FeatureGroup: generated/api/feature_group_api.md
+      - ExternalFeatureGroup: generated/api/external_feature_group_api.md
+      - SpineGroup: generated/api/spine_group_api.md
+      - FeatureView: generated/api/feature_view_api.md
+      - TrainingDataset: generated/api/training_dataset_api.md
+      - Storage Connector: generated/api/storage_connector_api.md
+      - Feature: generated/api/feature_api.md
+      - Query: generated/api/query_api.md
+      - Transformation Functions: generated/api/transformation_functions_api.md
+      - ValidationReport: generated/api/validation_report_api.md
+      - Job: generated/api/job.md
+      - Provenance Links: generated/api/links.md
+      - Statistics:
+          - Statistics: generated/api/statistics_api.md
+          - Split Statistics: generated/api/split_statistics_api.md
+          - Feature descriptive statistics: generated/api/feature_descriptive_statistics_api.md
+      - Feature Monitoring:
+          - Configuration: generated/api/feature_monitoring_config_api.md
+          - Result: generated/api/feature_monitoring_result_api.md
+          - Window: generated/api/feature_monitoring_window_config_api.md
+      - Embedding:
+          - EmbeddingIndex: generated/api/embedding_index_api.md
+          - EmbeddingFeature: generated/api/embedding_feature_api.md
+          - SimilarityFunctionType: generated/api/similarity_function_type_api.md
+      - Connection (HSML): generated/connection_api.md
+      - Model Registry:
+        - Model Registry: generated/model-registry/model_registry_api.md
+        - Model: generated/model-registry/model_api.md
+        - Model Schema: generated/model-registry/model_schema_api.md
+      - Model Serving:
+        - Model Serving: generated/model-serving/model_serving_api.md
+        - Deployment: generated/model-serving/deployment_api.md
+        - Deployment state: generated/model-serving/predictor_state_api.md
+        - Deployment state condition: generated/model-serving/predictor_state_condition_api.md
+        - Predictor: generated/model-serving/predictor_api.md
+        - Transformer: generated/model-serving/transformer_api.md
+        - Inference Logger: generated/model-serving/inference_logger_api.md
+        - Inference Batcher: generated/model-serving/inference_batcher_api.md
+        - Resources: generated/model-serving/resources_api.md
     # Added to allow navigation using the side drawer
     - Hopsworks API: https://docs.hopsworks.ai/hopsworks-api/latest/
-    - MLOps API: https://docs.hopsworks.ai/machine-learning-api/latest/
     - Feature Store JavaDoc: https://docs.hopsworks.ai/feature-store-javadoc/latest/
     - Contributing: CONTRIBUTING.md
   - Community ↗: https://community.hopsworks.ai/
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 4333adc8b..6adfea048 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -4,7 +4,14 @@ dynamic = ["version"]
 requires-python = ">=3.8,<3.13"
 readme = "README.md"
 description = "Hopsworks Python SDK to interact with Hopsworks Platform, Feature Store, Model Registry and Model Serving"
-keywords = ["Hopsworks", "Feature Store", "Spark", "Machine Learning", "MLOps", "DataOps"]
+keywords = [
+    "Hopsworks",
+    "Feature Store",
+    "Spark",
+    "Machine Learning",
+    "MLOps",
+    "DataOps",
+]
 
 authors = [{ name = "Hopsworks AB", email = "robin@hopsworks.ai" }]
 license = { text = "Apache-2.0" }
@@ -34,7 +41,7 @@ dependencies = [
 ]
 
 [project.optional-dependencies]
-dev = [ "ruff", "pytest"]
+dev = ["ruff", "pytest", "great_expectations"]
 
 [build-system]
 requires = ["setuptools", "wheel"]
diff --git a/requirements-docs.txt b/requirements-docs.txt
index d1499a262..8bc8d6230 100644
--- a/requirements-docs.txt
+++ b/requirements-docs.txt
@@ -1,7 +1,7 @@
 mkdocs==1.5.3
 mkdocs-material==9.5.17
 mike==2.0.0
-sphinx==7.2.6
+sphinx==7.3.7
 keras_autodoc @ git+https://git@github.com/logicalclocks/keras-autodoc
 markdown-include==0.8.1
 mkdocs-jupyter==0.24.3