Software Development
Pinecone Rag
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
- Publisher / source
- GitHub Copilot Community Skills
- Upstream record
- github/awesome-copilot
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-10-22
- Content fingerprint
31f32b56986b60ecbd51292bd734338bde31eb9fec088f7644bfaf183eeb1601