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Fix docs
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thinkall committed Sep 23, 2024
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2 changes: 1 addition & 1 deletion notebook/agentchat_RetrieveChat.ipynb
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"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",
"*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",
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2 changes: 1 addition & 1 deletion website/blog/2023-10-18-RetrieveChat/index.mdx
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Expand Up @@ -57,7 +57,7 @@ Please install pyautogen with the [retrievechat] option before using RAG agents.
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).*
*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',
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2 changes: 1 addition & 1 deletion website/docs/installation/Optional-Dependencies.md
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Expand Up @@ -49,7 +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).
*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.

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2 changes: 1 addition & 1 deletion website/docs/topics/retrieval_augmentation.md
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Expand Up @@ -56,7 +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).
*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:
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