
An open‑source vector database and embeddings engine for building retrieval‑augmented AI applications.
Chroma is an open-source, AI-native vector database built for storing and querying embeddings alongside metadata. It supports full‑text and multimodal search, scalable retrieval, and powers retrieval‑augmented generation workflows. Available as both a local SDK and a private‑preview managed cloud, Chroma offers strong developer ergonomics and extensible integrations for building production‑grade LLM applications.
Product overview
Chroma is best understood as open-source search and retrieval infrastructure rather than an agent framework. Chroma presents open-source search infrastructure for AI applications.
Information as of July 30, 2026
Chroma presents open-source search infrastructure for AI applications.[1]
34/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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For ai agent infrastructure teams
Exploring Chroma? For AI agent infrastructure teams, your own AI agent can investigate execution failures, improve shared agent services, and verify platform releases. Start with a setup tailored to this work.
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