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Vector DB Verified Architecture
Chroma - AI Vector Database
Chroma is the open-source embedding database designed specifically for RAG (Retrieval-Augmented Generation) applications. It provides lightning-fast nearest neighbor searches using HNSW indexing and offers a seamless developer experience in Python and TypeScript.
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Core Technologies & Frameworks
PythonRustRAGVector DB
Technical Architecture & Specifications
## Embedding Storage Built for AI
Chroma is the open-source embedding database. It gives you the tools to store embeddings and their metadata, embed documents and queries, and search embeddings quickly.
### System Design
Chroma is designed specifically for RAG (Retrieval-Augmented Generation) applications.
- **Storage Engine**: Leveraging Rust under the hood for maximum performance in approximate nearest neighbor (ANN) searches using HNSW indexing.
- **Developer Experience**: Incredibly simple API surface in Python and TypeScript, abstracting away the pain of deploying complex vector infrastructure.
- **Multimodal**: Supports out-of-the-box multimodal embeddings for text, images, and audio.
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