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This PR adds an additional method to `Chroma` to retrieve the embedding vectors, besides the most relevant Documents. This is sometimes of use when you need to run a postprocessing algorithm on the retrieved results based on the vectors, which has been the case for me lately. Example issue (discussion) requesting this change: https://github.com/langchain-ai/langchain/discussions/20383 --------- Co-authored-by: ccurme <chester.curme@gmail.com> |
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| langchain_chroma | ||
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| tests | ||
| .gitignore | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.md | ||
langchain-chroma
This package contains the LangChain integration with Chroma.
Installation
pip install -U langchain-chroma
Usage
The Chroma class exposes the connection to the Chroma vector store.
from langchain_chroma import Chroma
embeddings = ... # use a LangChain Embeddings class
vectorstore = Chroma(embeddings=embeddings)