Chroma
by chroma-coreOpen-source embeddings database for AI apps. Run in-process, in a server, or in the cloud.
About Chroma
Chroma is a Python open-source rag & vector dbs project by chroma-core. Open-source embeddings database for AI apps. Run in-process, in a server, or in the cloud. With 18,000 GitHub stars and 0forks, it's one of the RAG & Vector DBs tools worth knowing. You can download the source, browse it on GitHub, or read the full setup guide in the README below.
From the project README
[image: Chroma] [image: Chroma]
Chroma - the open-source data infrastructure for AI.
pip install chromadb # python client
# for javascript, npm install chromadb!
# for client-server mode, chroma run --path /chroma_db_path
Chroma Cloud
Our hosted service, Chroma Cloud, powers serverless vector, hybrid, and full-text search. It's extremely fast, cost-effective, scalable and painless. Create a DB and try it out in under 30 seconds with $5 of free credits.
API
The core API is only 4 functions (run our 💡 Google Colab):
This is an excerpt from the project's own README, quoted here for reference. Read the full README on GitHub →
Chroma — FAQ
What is Chroma?
Open-source embeddings database for AI apps. Run in-process, in a server, or in the cloud.
Is Chroma free to use?
Yes. Chroma is open-source and free. You can browse the source on GitHub or download it here at no cost — no signup required.
How do I install and run Chroma?
Download the latest source as a ZIP from GitHub (or clone the main branch), then follow the setup steps in the README below.
What language is Chroma written in?
Chroma is primarily written in Python.
How popular is Chroma?
Chroma has 18,000 stars and 0 forks on GitHub — a useful signal of how actively it's maintained and trusted by developers.
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