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langchain/libs/partners/chroma
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RIdham Golakiya 73ad7f2e7a
langchain_chroma[patch]: updated example for get documents with where clause (#26767) 
Example updated for vectorstore ChromaDB.

If we want to apply multiple filters then ChromaDB supports filters like
this:
Reference: [ChromaDB
filters](https://cookbook.chromadb.dev/core/filters/)

Thank you.
2024-10-08 20:21:58 +00:00
..
langchain_chroma langchain_chroma[patch]: updated example for get documents with where clause (#26767) 2024-10-08 20:21:58 +00:00
scripts multiple: pydantic 2 compatibility, v0.3 (#26443) 2024-09-13 14:38:45 -07:00
tests langchain_chroma: Pass through kwargs to Chroma collection.delete (#25970) 2024-09-19 04:21:24 +00:00
.gitignore
LICENSE
Makefile standard-tests[patch]: add Ser/Des test 2024-09-04 10:24:06 -07:00
poetry.lock chroma[patch]: Release 0.1.4 (#26470) 2024-09-13 17:31:34 -07:00
pyproject.toml chroma[patch]: Release 0.1.4 (#26470) 2024-09-13 17:31:34 -07:00
README.md

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)