# Chroma

> Open-source AI-native embedding database for LLM applications.

Chroma is an open-source AI-native vector database designed for building LLM applications that need to store and retrieve embeddings efficiently. Its simple Python API makes adding semantic memory and retrieval to AI applications straightforward, while its architecture scales from local development to production deployments. AI developers building RAG applications, semantic search, and knowledge-augmented chatbots use Chroma as a lightweight, developer-friendly vector store that gets applications running quickly without the operational complexity of managing larger database infrastructure.

## Quick facts

- Categories: Databases, Developer Tools
- Pricing: Free
- Free plan: Yes
- Official site: https://trychroma.com
- Last checked: 2026-10-22

## Key features

- Open-source vector database
- Simple Python and JavaScript API
- Embedding storage and retrieval
- Metadata filtering
- In-memory and persistent modes
- LangChain integration

## Use cases

- Building semantic search systems
- Storing embeddings for RAG
- AI chatbots with memory
- Prototyping vector search applications

## Links

- Nextool.ai page: https://nextool.ai/tools/chroma-db/
- Alternatives: https://nextool.ai/alternatives/chroma-db/

Source: Nextool.ai (https://nextool.ai/tools/chroma-db/). Pricing and features change; confirm on the provider's site before relying on them.