Do AI agents pick Chroma?
How often agents choose Chroma when a developer needs vector database — measured across Claude, GPT, Gemini.
95% CI 0%–3%
When developers ask an AI agent for vector db, Chroma is picked 1% of the time — ranking #3 of 5 measured across Claude, GPT, Gemini.
0 docs in FineWeb · 77 URLs in Common Crawl
788K installs / month flat
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The per-model and per-surface breakdown for Chroma — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.
About Chroma
An open-source vector database for building AI applications.
Chroma is an open-source data infrastructure layer that stores and queries embeddings, documents, and metadata, enabling LLMs to access external knowledge, facts, and skills. It supports both self-hosted deployments (via the Chroma CLI) and a hosted serverless option called Chroma Cloud with full-text and vector search. It is aimed at developers building LLM-powered applications that need to retrieve and manage contextual data.
Where to start
You can run a local Chroma server with the Chroma CLI using `chroma run`, then connect to it from your application using the JavaScript/TypeScript client or the native Python library. Official documentation and a Colab example are available to walk through initial setup.