chatbots is a good one. what (if anything) would you want to configure in a chatbot? memory type? llm? system message?
@hwchase17
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Higher Level LangChain Wrappers for LLM-Powered Applications
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I like this a lot – a higher level wrapper around langchain to make a specific use case (LLM-powered bots over a dataset) easier to create What other use cases deserve higher level wrappers around langchain?
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OpenAI Function Caching Reduces Development Costs
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As @mayowaoshin noted, using @OpenAI functions can be expensive By enabling caching, you can eliminate some costs as you develop Just in time for some weekend hacking
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OpenAPI Schema Meets OpenAI Functions Integration Guide
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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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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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