Pinecone
원문: pinecone
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless
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Pinecone Managed Vector Database The vector database for production AI applications. When to use Pinecone Use when: Need managed, serverless vector database Production RAG applications Auto scaling required Low latency critical (<100ms) Don't want to manage infrastructure Need hybrid search (dense + sparse vectors) Metrics : Fully managed SaaS Auto scales to billions of vectors p95 latency <100ms 99.9% uptime SLA Use alternatives instead : Chroma : Self hosted, open source FAISS : Offline, pure similarity search Weaviate : Self hosted with more features Quick start Installation Basic usage Core operations Create index Upsert vectors Query vectors Metadata filtering Namespaces Hybrid search (…
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.