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microsoft · Sep 23, 2024 · 5ca654f · 5ca654f
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diff --git a/notebook/agentchat_RetrieveChat.ipynb b/notebook/agentchat_RetrieveChat.ipynb
@@ -31,6 +31,8 @@
     "pip install pyautogen[retrievechat] flaml[automl]\n",
     "```\n",
     "\n",
+    "> _You'll need to install chromadb<=0.5.0 if you see issue like [#3551](https://github.com/microsoft/autogen/issues/3551)_\n",
+    "\n",
     "For more information, please refer to the [installation guide](/docs/installation/).\n",
     ":::\n",
     "````"
@@ -2785,7 +2787,7 @@
    ]
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "autogen312",
    "language": "python",
    "name": "python3"
   },

diff --git a/website/blog/2023-10-18-RetrieveChat/index.mdx b/website/blog/2023-10-18-RetrieveChat/index.mdx
@@ -4,7 +4,7 @@ authors: thinkall
 tags: [LLM, RAG]
 ---
 
-*Last update: August 14, 2024; AutoGen version: v0.2.35*
+*Last update: September 23, 2024; AutoGen version: v0.2.35*
 
 ![RAG Architecture](img/retrievechat-arch.png)
 
@@ -56,6 +56,7 @@ Please install pyautogen with the [retrievechat] option before using RAG agents.
 ```bash
 pip install "pyautogen[retrievechat]"
 ```
+> _You'll need to install chromadb<=0.5.0 if you see issue like [#3551](https://github.com/microsoft/autogen/issues/3551)_
 
 RetrieveChat can handle various types of documents. By default, it can process
 plain text and PDF files, including formats such as 'txt', 'json', 'csv', 'tsv',

diff --git a/website/docs/installation/Optional-Dependencies.md b/website/docs/installation/Optional-Dependencies.md
@@ -49,6 +49,7 @@ Example notebooks:
 ```bash
 pip install "pyautogen[retrievechat]"
 ```
+> _You'll need to install chromadb<=0.5.0 if you see issue like [#3551](https://github.com/microsoft/autogen/issues/3551)_
 
 Alternatively `pyautogen` also supports PGVector and Qdrant which can be installed in place of ChromaDB, or alongside it.
 

diff --git a/website/docs/topics/retrieval_augmentation.md b/website/docs/topics/retrieval_augmentation.md
@@ -56,6 +56,7 @@ ragproxyagent.initiate_chat(
     assistant, message=ragproxyagent.message_generator, problem=code_problem, search_string="spark"
 )  # search_string is used as an extra filter for the embeddings search, in this case, we only want to search documents that contain "spark".
 ```
+> _You'll need to install chromadb<=0.5.0 if you see issue like [#3551](https://github.com/microsoft/autogen/issues/3551)_
 
 ## Example Setup: RAG with Retrieval Augmented Agents with PGVector
 The following is an example setup demonstrating how to create retrieval augmented agents in AutoGen:
-Original file line number
+Diff line change
@@ Expand Up / @@ -49,6 +49,7 @@ Example notebooks: @@
     ```bash
     pip install "pyautogen[retrievechat]"
     ```
+    > _You'll need to install chromadb<=0.5.0 if you see issue like [#3551](https://github.com/microsoft/autogen/issues/3551)_
     Alternatively `pyautogen` also supports PGVector and Qdrant which can be installed in place of ChromaDB, or alongside it.
@@ Expand Down @@