# Chroma

> Open-source embedding database for AI apps

A simple vector store you can embed in a Python or JavaScript app or run as a server. It is often the fastest way to add retrieval to a prototype.

- Source: https://github.com/chroma-core/chroma
- Homepage: https://www.trychroma.com/
- License: Apache-2.0
- Language: Rust
- Stars: 29428
- Forks: 2543
- Contributors: 195
- Last commit: 2026-10-02
- Latest release: 1.5.9 (2026-05-05)
- Purpose: AI & LLM tooling, Developer tools, RAG & vector DBs, Databases & backends
- Runs on: Docker / self-host, Library / SDK
- For: Personal, Enterprise

## Worth score: 77/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 22/25
- Momentum: 10/20
- Maintenance: 21/25
- Community: 12/15
- Readiness: 12/15

## Install

pip:

```
pip install chromadb
```

## Alternatives

- [Milvus](https://diggithub.com/milvus-io/milvus.md): Cloud-native vector database
- [Qdrant](https://diggithub.com/qdrant/qdrant.md): High-performance vector database and search engine
- [Weaviate](https://diggithub.com/weaviate/weaviate.md): Open-source vector database
- [Zvec](https://diggithub.com/alibaba/zvec.md): In-process vector database
- [InsForge](https://diggithub.com/InsForge/InsForge.md): Backend platform for agentic coding
- [Crawl4AI](https://diggithub.com/unclecode/crawl4ai.md): Web crawler that turns sites into LLM-ready Markdown
- [LightRAG](https://diggithub.com/HKUDS/LightRAG.md): Simple and fast graph-based RAG
- [gpt-researcher](https://diggithub.com/assafelovic/gpt-researcher.md): Autonomous deep research agent for web and local documents

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Source page: https://diggithub.com/chroma-core/chroma
Updated: 2026-10-03