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pinecone

separate

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, managed infrastructure.

When to use

• 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)
• Fully managed SaaS
• Auto-scales to billions of vectors

When not to use

• self-hosted open-source vector databases
• offline pure similarity search
• managing infrastructure
• Chroma
• FAISS
• Weaviate

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