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Vector DBFreemiumOpen Source
CHROMA
Open-source search infrastructure for AI
Apache-2.0
ABOUT
Developers building AI applications need a fast, scalable way to store and search billions of embeddings and unstructured data. Legacy search systems require manual tuning, expensive memory, and complex ops, while Chroma provides zero-ops, serverless vector, full-text, and metadata search built on cheap object storage — making it up to 10x cheaper with no engineering overhead.
INSTALL
pip install chromadbINTEGRATION GUIDE
1. Build RAG systems and context-aware chatbots that retrieve relevant documents before sending them to an LLM
2. Run semantic and lexical document search across large knowledge bases with metadata filtering
3. Perform multi-modal retrieval across text, images, and other unstructured data types
TAGS
vector-databaseembeddingssemantic-searchragfull-text-searchmetadata-searchopen-source