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Create a MongoDB retrieval Agent #711
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #711 +/- ##
==========================================
+ Coverage 27.89% 31.91% +4.01%
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Files 27 28 +1
Lines 3466 3513 +47
Branches 784 790 +6
==========================================
+ Hits 967 1121 +154
+ Misses 2428 2309 -119
- Partials 71 83 +12
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. |
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Merge branch 'main' of https://github.com/cozypet/autogen
Merge branch 'main' of https://github.com/cozypet/autogen
@thinkall could you advise how to write the test to avoid the build error? |
Hi @ranfysvalle02 , we have new abstract of vectordb https://github.com/microsoft/autogen/tree/main/autogen/agentchat/contrib/vectordb . I would suggest adding a new mongodb class. No new agent is needed. Would you like to work on it? |
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…On Fri, Jun 14, 2024, 1:18 AM Fabian Valle ***@***.***> wrote:
@thinkall <https://github.com/thinkall>
Here is the Pull Request: #2942
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Why are these changes needed?
Using RetrieveChat with MongoDB for Retrieve Augmented Code Generation and Question Answering
MongoDB has been ranked as the best vector database(https://www.mongodb.com/blog/post/atlas-vector-search-commands-highest-developer-nps-retool-state-ai-2023-survey) in the Retool AI report, so it is quite important to add MongoDB vector search as an option for Autogen RAG.
You can easily start the MongoDB vector search on a free tier M0 MongoDB Atlas cluster. Free tier cluster provides the full functionality of the MongoDB vector search. https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-overview/
But why is MongoDB such a standout? Well, there are a few key reasons.
As such, implementing MongoDB as a Retrieval Agent can unlock new potential in your AI applications, bringing the full power of vector storage to bear.
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