langchain-chroma
An integration package connecting Chroma and LangChain.
Decision gist · record as of 2026-08-14
Yes. This is a straightforward integration package with low install friction, active maintenance, no known vulnerabilities, and permissive licensing. Install it if you are already using LangChain and want to use Chroma as your vector store; it is the standard way to connect the two.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; chromadb must be installed and functional on your system.
- Low friction install with three direct runtime dependencies (chromadb, langchain-core, numpy).
- Actively maintained as of 2026-08-14 with recent release activity.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2025-12-12 (245 days) · last repo commit 2026-08-14 · 144,266 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,591,222 downloads/mo, #3,736 on PyPI
Alternatives
Verify before relying
pip install langchain-chroma
from langchain_chroma import Chroma
from langchain_core.embeddings import Embeddings
vector_store = Chroma(embedding_function=embeddings)- Whether chromadb requires system-level dependencies or compilation on your target platform
- Specific version compatibility constraints between chromadb and langchain-core beyond what requires_python specifies
What it is and what it does
langchain-chroma is a bridge package that integrates Chroma vector database with LangChain's ecosystem. It provides a LangChain-compatible vector store interface to Chroma, allowing you to store and retrieve embeddings within LangChain workflows. The package handles the plumbing between LangChain's embedding and retrieval abstractions and Chroma's vector storage engine.
You use it when building retrieval-augmented generation (RAG) systems, semantic search applications, or any LangChain pipeline that needs to persist and query embeddings. It depends on chromadb for the actual vector storage, langchain-core for the integration interface, and numpy for numerical operations. The package is lightweight and focused narrowly on this one integration point.
Use it for
- Build a RAG chatbot that retrieves relevant documents from a Chroma vector store before generating responses.
- Implement semantic search over a corpus of documents by storing embeddings in Chroma and querying via LangChain.
- Create a memory system for LangChain agents that persists conversation context as embeddings in Chroma.
- Prototype multi-step LLM workflows where intermediate results are stored and retrieved from a vector database.
- Set up a document Q&A system that chunks documents, embeds them with LangChain, and stores them in Chroma for retrieval.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a straightforward integration package with low install friction, active maintenance, no known vulnerabilities, and permissive licensing. Install it if you are already using LangChain and want to use Chroma as your vector store; it is the standard way to connect the two.
Install
langchain-chroma on PyPI
Before you install
Low friction install with three direct runtime dependencies (chromadb, langchain-core, numpy). Actively maintained as of 2026-08-14 with recent release activity.
Requires Python 3.10 or later; chromadb must be installed and functional on your system.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install langchain-chroma
from langchain_chroma import Chroma
from langchain_core.embeddings import Embeddings
vector_store = Chroma(embedding_function=embeddings)Verify before relying
- Whether chromadb requires system-level dependencies or compilation on your target platform
- Specific version compatibility constraints between chromadb and langchain-core beyond what requires_python specifies
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0.0,>=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageschromadblangchain-corenumpy |
| Maintenance | Actively maintained 245 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,591,222 / month, #3,736 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: langchain_chroma-1.1.0-py3-none-any.whl
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See also langchain-milvus · langchain-qdrant · langchain-weaviate · langchain-mongodb · langchain-oracledb · embedchain · chromadb-client · chromadb · langchain-exa · langchain-pinecone