pinecone

This plugin provides tools for managing Pinecone vector indexes, querying data, and building vector-based applications. Use slash commands for quick setup and exploration, or access the Pinecone MCP server for index operations. Ideal for developers building semantic search, RAG applications, recommendation systems, and hybrid search solutions.

• Create, describe, upsert, and query Pinecone indexes via MCP server
• Use /quickstart to generate AGENTS.md files and initialize Python projects
• Use /query to explore and search vector indexes
• Build semantic search and retrieval-augmented generation (RAG) applications
• Implement hybrid search combining vector and full-text (BM25) search
• Develop recommendation systems and vector-based applications