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This skill equips Claude with the domain-specific knowledge and implementation patterns required to build high-performance vector search applications using Pinecone. It provides standardized workflows for index management, hybrid search (combining dense and sparse vectors), metadata filtering, and namespace partitioning. Whether you are building a serverless RAG pipeline or a complex recommendation system, this skill ensures best practices for low-latency retrieval and efficient data upserting using the Pinecone Python client and popular frameworks like LangChain and LlamaIndex.
