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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

$0.33/GiB/month

Founded

2022

Team size

11-50 employees

Headquarters

San Francisco, California

Chroma preview

Preview from trychroma.com

At a glance

Pricing model

Usage-based

Try before you buy

Free trial · Free plan

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.

Procurement & Fit

Structured facts from the vendor to help your security, finance, and procurement reviews move faster.

Trust

Security & compliance

SOC 2

SLA uptime target: Not specified

Security review turnaround: Not specified

DPA available: Not specified

Pricing

Commercial model

Pricing model: Usage-based

Free trial: Yes

Free plan: Yes

Contract minimum: Not specified

Procurement

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Fit

Best-fit company size

Company-size fit has not been specified yet.

Buyer Fit & Positioning

Implementation & Procurement

Commercial Fit & Ecosystem

Proof, Outcomes & Momentum

Alternatives, Migration & Buyer Objections