v0.0.43 @weaviate_io vectorstore support! h/t @CShorten30 for help here – keep out for more! @pinecone vectorstore support – @cameroncohen Improvements to text splitter And better docs for data augmented generation in general! https://
langchain.readthedocs.io/en/latest/exam
ples/data_augmented_generation.html
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@langchain
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LangChain v0.0.43: Weaviate and Pinecone vectorstore support
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Embeddings Integration and Prototype Support Offer
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yeah as @devonbrackbill said, probably pretty doable with embeddings! and should fit into the current abstractions pretty nicely. if youve got a concrete usecase and need, happy to help prototype some stuff!
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Fine-tuning vs. In-context Learning: Exploring Alternative Approaches
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this is great question! i think its an unexplored space. finetuning is much more heavy weight (error prone, hard to do, more data required, etc), so it will be interesting to see if you can achieve similar performance just by using examples
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LangChain Enables Selective LLM Caching Control
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Caching improvements Previously, caching was enabled for either all LLMs or None But @devonbrackbill pointed out you may want to turn off caching for certain LLM calls – eg in recursive summarization This is now possible Docs: https://
langchain.readthedocs.io/en/latest/exam
ples/prompts/llm_caching.html
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MMR Example Selector for Optimal Contextual Diversity
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Max Marginal Relevance (MMR) Example Selector Based on this preprint by @xiye_nlp et al, the MMR example selector chooses diverse, in-context examples H/t @johnjnay for surfacing this paper Docs: https://langchain.readthedocs.io/en/latest/examples/prompts/prompt_management.html Original Paper: https://x.com/xiye_nlp/status/1603821850592628738?s=20&t=wQPcRd8IJ8URbmytuYP7QA
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LangChain Extends Prompt Formatting with Jinja Support
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Jinja Formatting Up until now, all the formatting in prompts has been done using Python f-strings But the template_format abstraction is pretty flexible, and @benderville easily extended it to support Jinja, a more advanced formatter Docs: https://
langchain.readthedocs.io/en/latest/exam
ples/prompts/prompt_management.html#Alternative-formats
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LangChain v0.0.42 Release: Documentation, Formatting, and Caching Updates
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LangChain v0.0.42 Doc fixes by @YouSearchEngine team, @_abi_ Jinja formatting – @benderville Max Marginal Relevance example selector (based on paper by @xiye_nlp Caching improvements (h/t @devonbrackbill for idea) These are sneaky some awesome updates, lets
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LangChain v0.0.41 Release: Multiple Inputs, Bug Fixes, Agent Improvements
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LangChain v0.0.41 Make `run` interface work for multiple inputs (
@ankush_gola11
) Bug fix for text splitter (h/t @prof_reed
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LangChain v0.0.40: SQLAlchemy Cache and LLM Improvements
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LangChain v0.0.40 Add generic SQLAlchemy cache – @benderville Documentation cleanup – h/t @prof_reed Some BIG LLM improvements from @YouSearchEngine team: Support for local @huggingface models Support for streaming tokens from @OpenAI
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OpenAI Releases New Tokenizer for Accurate Token Usage Estimation
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@OpenAI also released a new tokenizer This makes it possible to more accurately (and quickly) estimate your token usage This is actually extremely helpful for the `collapse` step mentioned above!