Pandas AI x @AnthropicAI @ai_pandas is an AWESOME library by @lele_venturi that adds GenAI capabilities to pandas DFs It's also fully compatible with @langchain LLMs… which means you can easily use things like @AnthropicAI
's claude-2! Repo: https://
github.com/gventuri/panda
s-ai
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@hwchase17
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PandasAI: GenAI Library for Data Analysis with Claude
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Neon Database Vector Analysis Compared to pg_vector
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What I really like about the analysis the @neondatabase team did is that they did a pretty detailed comparison to `pg_vector`. s/o @raoufdevrel for this They both have their pros and cons! @andrewkane @kiwicopple would love your thoughts here as well
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LangChain PGEmbedding Integration Now Available
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Integrations page for LangChain: https://
integrations.langchain.com/new?integratio
n_name=PGEmbedding
… HN discussion: https://
news.ycombinator.com/item?id=366955
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PostgreSQL HNSW Extension for Vector Embeddings by Neon
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pg_embedding @PostgreSQL is popular database choice. Excited to share a new extension from @neondatabase to help you use it for embeddings as well (with HNSW)! Blog:
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Integrations Page Gets Major Updates with New Categories
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Some big improvements to the integrations page, including new categories (callbacks) and new pages (top/trending/new)
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LangChain Updates Anthropic Client Wrapper for Latest Version
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Updated Anthropic Client In the newest @langchain release (0.0.225) we've updated our @AnthropicAI wrapper to deal with their new 0.3.* client Should be seamless upgrade experience – just `pip install -U anthropic` and you'll be set! No more changes than that
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Team feedback on complex AI logic chain implementation
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Big shout to the team at @exemplaryai for feedback on this front! There's sneaky a lot of logic in this one chain, hopefully this clears some of it up. Anything else we can do to help here?
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Token Max Parameter in ReduceDocumentChain and ConversationalRetrievalChain
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Token Max parameter This impacts the ReduceDocumentChain, which can often be used to power the ConversationalRetrievalChain This parameter controls how large of chunks (in token length) to combine documents into before reducing Docs:
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Enhanced Reference Documentation with Better Docstrings Examples
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Improved Reference Docs We beefed up our reference documentation to include better docstrings and a more end-to-end example There's a lot of toggles to play with, hopefully this helps make it more clear what all the parameters are Docs:
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ConversationalRetrievalChain Gets Quality of Life Improvements
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ConversationalRetrievalChain Upgrades One of our more popular chains is the ConversationalRetrievalChain, which allows you to create a retrieval augmented generation chatbot We've introduced some small but impactful quality of life changes: