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Description: * I'm planning to add `Document.id` support to the Chroma VectorStore, but first I wanted to make sure all the integration tests were passing first. They weren't. This PR fixes the broken tests. * I found 2 issues: * This change (from a year ago, exactly :) ) for supporting multi-modal embeddings: https://docs.trychroma.com/deployment/migration#migration-to-0.4.16---november-7,-2023 * This change https://github.com/langchain-ai/langchain/pull/27827 due to an update in the chroma client. Also ran `format` and `lint` on the changes. Note: I am not a member of the Chroma team. |
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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)