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Merge branch 'main' into fix-unhashable-type-of-ImportFromModule
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zcipod authored Aug 22, 2024
2 parents fe4768f + 663092b commit 2754ddd
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2 changes: 1 addition & 1 deletion autogen/agentchat/contrib/vectordb/qdrant.py
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Expand Up @@ -93,7 +93,7 @@ def __init__(
kwargs: dict | Additional keyword arguments.
"""
self.client: QdrantClient = client or QdrantClient(location=":memory:")
self.embedding_function = FastEmbedEmbeddingFunction() or embedding_function
self.embedding_function = embedding_function or FastEmbedEmbeddingFunction()
self.collection_options = collection_options
self.content_payload_key = content_payload_key
self.metadata_payload_key = metadata_payload_key
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2 changes: 1 addition & 1 deletion website/docs/installation/Docker.md
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Expand Up @@ -82,6 +82,6 @@ docker run -it -p {WorkstationPortNum}:{DockerPortNum} -v {WorkStation_Dir}:{Doc

## Additional Resources

- Details on all the Dockerfile options can be found in the [Dockerfile](https://github.com/microsoft/autogen/.devcontainer/README.md) README.
- Details on all the Dockerfile options can be found in the [Dockerfile](https://github.com/microsoft/autogen/blob/main/.devcontainer/README.md) README.
- For more information on Docker usage and best practices, refer to the [official Docker documentation](https://docs.docker.com).
- Details on how to use the Dockerfile dev version can be found on the [Contributor Guide](/docs/contributor-guide/docker).
1 change: 1 addition & 0 deletions website/docs/topics/retrieval_augmentation.md
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Expand Up @@ -125,6 +125,7 @@ For more detailed examples and notebooks showcasing the usage of retrieval augme
- Automated Code Generation and Question Answering with Retrieval Augmented Agents - [View Notebook](/docs/notebooks/agentchat_RetrieveChat)
- Automated Code Generation and Question Answering with [PGVector](https://github.com/pgvector/pgvector) based Retrieval Augmented Agents - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_RetrieveChat_pgvector.ipynb)
- Automated Code Generation and Question Answering with [Qdrant](https://qdrant.tech/) based Retrieval Augmented Agents - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_RetrieveChat_qdrant.ipynb)
- Automated Code Generation and Question Answering with [MongoDB Atlas](https://www.mongodb.com/) based Retrieval Augmented Agents - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_RetrieveChat_mongodb.ipynb)
- Chat with OpenAI Assistant with Retrieval Augmentation - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_oai_assistant_retrieval.ipynb)
- **RAG**: Group Chat with Retrieval Augmented Generation (with 5 group member agents and 1 manager agent) - [View Notebook](/docs/notebooks/agentchat_groupchat_RAG)

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