OpenAPI Schema x OpenAI Functions (bit of a mouthful) This idea came out of a @jxnlco suggestion from our most recent @OpenAI functions webinar! What other goodies are hidden in that webinar??? Only one way to find out – catch it live on Youtube: https://
youtube.com/watch?v=LxI0io
fzKWA
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@hwchase17
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OpenAPI Schema Meets OpenAI Functions Integration Guide
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LangChain ecosystem expands with new data ingestion utilities
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good visual from @RLanceMartin showing 1. full ecosystem of @langchain data ingestion utils
2. new additions to the various components -
LangChain Integrates MongoDB Vector Search Capabilities
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LangChain x Mongo At today's developer conference @MongoDB announced their vector search offering Excited to share that we've already got integrations with this up and running! s/o to `P-E-B` (python) and `floomby` (javascript) for adding Blog: https://
python.langchain.com/docs/modules/d
ata_connection/vectorstores/integrations/mongodb_atlas_vector_search
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Natural Language to SQL Integration with LLM Technology
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Text-to-SQL In this integration you can easily ask questions of the underlying data in natural language Use an LLM to convert natural language to SQL specific to the Motherduck table you're trying to connect to
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LangChain Integrates Motherduck Cloud for SQL and LLM Caching
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LangChain x Motherduck Congrats to Motherduck on the launch of their new cloud offering! Excited to highlight two ways to integrate it with @langchain
: Text-to-SQL Cache for LLM calls Ecosystem page: https://
python.langchain.com/docs/ecosystem
/integrations/motherduck
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LangChain ConversationBufferMemory Configuration Guide
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If you initialize it with return_messages=true that should do exactly that https://
python.langchain.com/docs/modules/m
emory/#conversationbuffermemory
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Querying Graphs with Large Language Models
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Always fun to explore querying graphs with LLMs! https://
x.com/kuzudb/status/
/kuzudb/status/1671523198893006848
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RAG Framework Troubleshooting with LangChain Pinecone Arize
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Lots of applications use the RAG style framework with @langchain and @pinecone But how can you trouble shoot those applications? Enter @arizeai Excited to be doing a LangChain x Pinecone x Arize webinar on all this (feat @RLanceMartin
) Sign up https://
pinecone-io.zoom.us/webinar/regist
er/WN_xAv6ql91SxW01iN9Sy2yLw#/registration
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LangChain Multi-Action Agent Selection Framework Exposure
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Example notebook: https://
python.langchain.com/docs/modules/a
gents/agent_types/openai_multi_functions_agent
… We'll work on exposing this "multi-action" selection more natively as well (so you can use outside of agents) -
Parallel API Calls in AI Agents Multiple Independent Requests
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Some example use cases where this provides value: "what is the weather in sf and la" -> can generate two independent calls to lookup weather in sf and la "who has revenue in Q1, tesla or apple" -> can generate two independent calls to look up revenue