pinecone

SKILL.md

| Upsert | 50-100ms | Per batch | | Query (p50) | 50ms | Depends on index size | | Query (p95) | 100ms | SLA target | | Metadata filter | +10-20ms | Additional overhead |

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. Source: microck/ordinary-claude-skills.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/microck/ordinary-claude-skills --skill pinecone Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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