Pinecone
Free tierThe fully managed vector database built for knowledgeable AI — fast retrieval, accurate results, lower costs.
Key strengths
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Developer Documentation & Integration
Pinecone exposes a fully documented REST API and official SDKs for Python, Node.js, Go, and Java. Authentication is managed via API keys scoped per project, accessible from the console or programmatically.
Core API operations:
upsert— write vectors (with optional metadata and namespace targeting); acknowledgment <100ms, searchable within seconds.query— k-nearest-neighbor search with optional metadata filter expressions evaluated inside the index, not post-hoc.fetch,update,delete,list— full CRUD on records.- Namespaces — logical partitions within a single index; supports up to 1.7M namespaces for multi-tenant or per-agent isolation with zero index-level overhead.
- Inference API — generate embeddings directly through Pinecone without a separate embedding service.
- Backups — snapshot and restore indexes across regions.
MCP / CLI support:
Install the Pinecone plugin into Claude Code via claude plugin install pinecone and run /pinecone:quickstart for guided onboarding. Dedicated Read Nodes can be provisioned for high-QPS production workloads. Compliance certifications include SOC 2 Type II, HIPAA, GDPR, and ISO 27001; network isolation via private networking and CMEK is available on Enterprise plans.
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