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Chroma is an open-source embedding database designed for building AI applications with LLMs, providing the simplest way to store, search, and retrieve embeddings for RAG and semantic search.

Pricing

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Founded

2022

Team size

11-50 employees

Headquarters

San Francisco, California

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Chroma preview

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At a glance

Pricing model

Usage-based

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Integrates with

TypeScriptPythonRustAWS PrivateLinkGitHub (via Chroma Sync)+2

Security

SOC 2

About Chroma

Chroma is an open-source embedding database that provides the simplest possible interface for storing and retrieving vector embeddings. Designed as the database layer for LLM applications, Chroma makes it easy to build retrieval-augmented generation (RAG) systems with just a few lines of code.

The platform's developer-friendly API supports storing documents with their embeddings and metadata, then querying by semantic similarity. Chroma handles embedding generation, storage, and retrieval in a unified interface that requires minimal configuration.

Popular with developers prototyping AI applications and increasingly used in production, Chroma provides both an in-memory mode for development and a client-server mode for deployment. The platform integrates with LangChain, LlamaIndex, and other popular AI frameworks.

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SOC 2

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Pricing model: Usage-based

Free trial: Yes

Free plan: Yes

Contract minimum: Not specified

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