New deployment template for http://
beam.cloud Lot's of people have been asking for easiest way to deploy chains/agents, and @mernit added a new deployment template for Beam! https://
langchain.readthedocs.io/en/latest/depl
oyments.html#beam
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@langchain
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New Beam Deployment Template for LLM Chains and Agents
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LangChain from_string Method Simplifies LLMChain Construction
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Usability is everything, and @brucehammer came up with a great idea for making it easier to construct LLMChains. A `from_string` method parses out the variables and auto-creates a prompt Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/chains/generic/llm_chain.html#from-string
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Instruct Embeddings: Task-Tailored Text Embeddings from HuggingFace
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@huggingface Instruct embeddings Instruct embeddings are from an instruction-finetuned embedding model that can generate text embeddings tailored to any task, *just by providing the task description* A joint effort by seanaedmiston and @EnoReyes https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/embeddings.html#instructembeddings
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LangChain 0.0.76 Release: Instruct Embeddings and New Features
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Another big release! 0.0.76 main features: @huggingface Instruct embeddings (seanaedmiston, @EnoReyes
) ngram example selector (
@seanspriggens
) Other features include a new deployment template, easier way to construct LLMChain, and updates to PALChain Lets dive in -
GPTwitter: Novel User-Level Personalization on LangChain
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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
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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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