Introducing the first of hopefully many guest posts highlighting novel applications building on top of LangChain GPTwitter: an application that we believe achieves user-level personalization in a novel, reproducible, and under-explored way
@langchain
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Human-in-the-loop pause mechanism for AI automation systems
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not currently, could be a future consideration! would desired ux be like "pause and wait for human to ok it"?
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LangChain SQL Chain Intermediate Steps Now Accessible
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Return intermediate steps for SQL chain You can now return and access the intermediate steps of a SQL database chain! This includes the generated SQL query, and the raw sql result Docs: https://
langchain.readthedocs.io/en/latest/modu
les/chains/examples/sqlite.html#return-intermediate-steps
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Cohere AI Wrappers Updates and Conversational Agent Fixes
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And others! Updates to @CohereAI wrappers There were a few updates/fixes to the Cohere wrappers from @ephe_meral and @bair82 Fix to conversational agent
Docs update @zurawiki Expose memory key name in entity memory class -
VectorDB QA Chain Now Supports Max Marginal Relevance Search
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Allowing different types of search in the vector DB chain Previously, the VectorDB QA chain only used similarity search to fetch documents You can now configure this to use `mmr`: max marginal relevance https://
github.com/hwchase17/lang
chain/blob/b9045f7e0df357d608700e91dc3039433f652d61/langchain/chains/vector_db_qa/base.py#L44
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TensorFlow Hub Embeddings Support Added to LangChain
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TensorflowHub embeddings There's now support for another embedding type – Tensorflow Hub embeddings! Ryohei Kuroki Docs: https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/embeddings.html#tensorflowhub
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Enhanced Agent Initialization with Advanced Parameters
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More complete initialization of agents Thanks to @jxnlco you can now more completely initialize agents by specifying `agent_kwargs` This allows for passing of more complex parameters to the agent class https://
github.com/hwchase17/lang
chain/blob/b9045f7e0df357d608700e91dc3039433f652d61/langchain/agents/initialize.py#L17
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LangChain v0.0.75 Release: Agents, Embeddings, SQL Steps
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Another big release! v0.0.75 Pin LangChainHub version (
@roywilliamsiii
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TensorflowHub embeddings (Ryohei Kuroki)
Returning intermediate SQL steps
Better initialization of agents (
@jxnlco
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Using MMR search in the vector DB QA chain And more! -
LangChainHub Now Supports Git Commit Version Pinning
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Pin LangChainHub version Thanks to @roywilliamsiii you can now load artifacts from LangChainHub from a specific git commit, effectively pinning the version Docs: https://
langchain.readthedocs.io/en/latest/modu
les/agents/examples/load_from_hub.html#pinning-dependencies
… Check out the Hub here: -
Best Practices for Deploying LangChain Applications
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An awesome example for everyone asking how to best deploy langchain apps! https://t.co/GSrE53HYgj
— LangChain (@LangChain) 30 janvier 2023An awesome example for everyone asking how to best deploy langchain apps!