Vector-database and RAG skills from Pinecone.
Official Pinecone skills for onboarding, query, CLI, Assistants, MCP, full-text search, docs, and n8n.
Arranged in the author's recommended order. Walk through them in sequence, or open any one on its own.
Interactive Pinecone quickstart for new developers. Choose between two paths – Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A).
Query integrated indexes using text with Pinecone MCP. IMPORTANT – This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large).
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal.
Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations – create, upload, sync, chat, context retrieval, and list.
Reference for the Pinecone MCP server tools. Documents all available tools – list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents.
Create, ingest into, and query a Pinecone full-text-search (FTS) index using the preview API (2026-01.alpha, public preview).
Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references.
Build n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node.
Overview of all available Pinecone skills and what a user needs to get started.