Chroma
원문: chroma
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best
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Chroma Open Source Embedding Database The AI native database for building LLM applications with memory. When to use Chroma Use Chroma when: Building RAG (retrieval augmented generation) applications Need local/self hosted vector database Want open source solution (Apache 2.0) Prototyping in notebooks Semantic search over documents Storing embeddings with metadata Metrics : 24,300+ GitHub stars 1,900+ forks v1.3.3 (stable, weekly releases) Apache 2.0 license Use alternatives instead : Pinecone : Managed cloud, auto scaling FAISS : Pure similarity search, no metadata Weaviate : Production ML native database Qdrant : High performance, Rust based Quick start Installation Basic usage (Python) Cor…
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.