Pinecone Vector Database

关于

This skill provides specialized guidance and implementation patterns for Pinecone, a leading serverless vector database designed for high-performance AI applications. It helps developers manage indexing, perform low-latency queries (<100ms), and implement advanced features like hybrid search (dense + sparse vectors) and metadata filtering. Whether you are building production Retrieval-Augmented Generation (RAG) pipelines or large-scale recommendation engines, this skill streamlines the integration of auto-scaling vector storage with Claude Code.

主要功能

• Serverless and pod-based index management
• Hybrid search implementation (dense + sparse vectors)
• Advanced metadata filtering and namespaces
• Optimized batch upserting and deletion patterns
• Native LangChain and LlamaIndex integration guides
• 81 GitHub stars

使用场景

• Developing real-time recommendation engines with low-latency requirements
• Implementing high-performance semantic search for large datasets
• Building production-grade Retrieval-Augmented Generation (RAG) systems