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This skill provides Claude with comprehensive expertise in architecting and managing Pinecone vector databases, the leading managed solution for production AI. It offers deep technical guidance on index lifecycle management, serverless versus pod-based configurations, and advanced implementation patterns like hybrid search (dense + sparse) and metadata filtering. By leveraging this skill, developers can ensure their Retrieval-Augmented Generation (RAG) pipelines and recommendation systems achieve p95 latencies under 100ms while maintaining best practices for data isolation through namespaces and efficient batch processing.
