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Chroma

Search infrastructure for AI

View on GitHub Official site
Vector Databases Apache-2.0 Easy setup 28,848 stars

Overview

Description

The big picture: Chroma is an open-source vector database that lets any application search and retrieve data using AI embeddings. Here's why it matters: you can add semantic search, recommendations, and retrieval-augmented generation (RAG) in minutes with just a few lines of code — no need to manage complex infrastructure yourself. The bottom line: go from zero to production-grade AI search with a simple four-function API.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

No

Quantization support

No

Docker available

Yes

GUI / no-code available

No

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

🛡️

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Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/chroma-core/chroma

Hardware Requirements

Hardware tagsCPU
LanguagesRust

Works Well With