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ChromaDB

Vector Databases & Memory
Open Source AI
Chroma

Embedded vector database designed for developers. Run in-memory or persist to disk. Automatic embedding generation with built-in models. Python and JavaScript APIs. Perfect for prototyping and small to medium deployments.

Why Use ChromaDB

Easiest vector database to get started - install with pip, add 3 lines of code, done. Embedded design means no separate server to manage. Built-in embedding generation simplifies development. Ideal for prototypes, testing, and local development. Scales to production with hosted Chroma Cloud.

Use Cases for Builders
Practical ways to use ChromaDB in your workflow
  • Prototype agent memory systems in minutes
  • Add semantic search to Jupyter notebooks and scripts
  • Build MVPs without infrastructure complexity
  • Test RAG pipelines locally before deploying
  • Create personal AI tools with embedded memory
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