5 Commits (c010ec8b71771dc3f54dc148475c90070b6a7c0b)

Author	SHA1	Message	Date
ccurme	c010ec8b71	patch: deprecate (a)get_relevant_documents (#20477) ... - `.get_relevant_documents(query)` -> `.invoke(query)` - `.get_relevant_documents(query=query)` -> `.invoke(query)` - `.get_relevant_documents(query, callbacks=callbacks)` -> `.invoke(query, config={"callbacks": callbacks})` - `.get_relevant_documents(query, **kwargs)` -> `.invoke(query, **kwargs)` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	1 month ago
ccurme	4e9b358ed8	docs: Fix broken imports in documentation (#19655) ... Found via script in https://github.com/langchain-ai/langchain/pull/19611	2 months ago
Leonid Ganeline	3624f56ccb	docs: update imports of `retrievers` to use `langchain_community` (#18707) ... Updated `langchain` imports to `langchain_community`.	3 months ago
Bagatur	5efb5c099f	text-splitters[minor], langchain[minor], community[patch], templates, docs: langchain-text-splitters 0.0.1 (#18346)	3 months ago
Ayo Ayibiowu	ac1d7d9de8	community[feat]: Adds LLMLingua as a document compressor (#17711) ... **Description**: This PR adds support for using the [LLMLingua project ](https://github.com/microsoft/LLMLingua) especially the LongLLMLingua (Enhancing Large Language Model Inference via Prompt Compression) as a document compressor / transformer. The LLMLingua project is an interesting project that can greatly improve RAG system by compressing prompts and contexts while keeping their semantic relevance. **Issue**: https://github.com/microsoft/LLMLingua/issues/31 **Dependencies**: [llmlingua](https://pypi.org/project/llmlingua/) @baskaryan --------- Co-authored-by: Ayodeji Ayibiowu <ayodeji.ayibiowu@getinge.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	3 months ago