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ChromaDB
Since 2022Open-source embedding database
Open-source embedding database — local RAG development and self-hosted vector search.
Overview
Preferred vector DB for development and self-hosted. Open-source, zero-config local, LangChain integration. For prototyping RAG, local AI experiments, and production where data sovereignty requires self-hosting.
Use Cases
- Local RAG dev
- self-hosted vector search
- AI prototyping
- document retrieval
- privacy-sensitive AI
Advantages
- Open-source
- zero-config
- Python-native API
- LangChain integration
- metadata filtering
- embedded or server
Considerations
- Less mature for production scale
- smaller community
- limited distribution
- evolving API