Pinecone Help

Pinecone Skills — Help & Overview

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. It's useful for building semantic search, retrieval augmented generation, recommendation systems, and agentic applications.

Here's everything you need to get started and a summary of all available skills.

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What You Need

Required

• Pinecone account — free to create at https://app.pinecone.io/?sessionType=signup
• API key — create one in the Pinecone console after signing up, then either export it in your terminal:

``bash export PINECONE_API_KEY="your-key" ` Or add it to a .env file if your IDE doesn't inherit shell variables: PINECONEAPIKEY=your-key`

Optional (unlock more capabilities)

| Tool | What it enables | Install | |---|---|---| | Pinecone MCP server | Use Pinecone directly inside your AI agent/IDE without writing code | Setup guide | | Pinecone CLI (pc) | Manage all index types from the terminal, batch operations, backups, CI/CD | brew tap pinecone-io/tap && brew install pinecone-io/tap/pinecone | | uv | Run the packaged Python scripts included in these skills | Install uv |

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Available Skills

| Skill | What it does | |---|---| | pinecone-quickstart | Step-by-step onboarding — create an index, upload data, and run your first search | | pinecone-query | Search integrated indexes using natural language text via the Pinecone MCP | | pinecone-cli | Use the Pinecone CLI (pc) for terminal-based index and vector management | | pinecone-assistant | Create, manage, and chat with Pinecone Assistants for document Q&A with citations | | pinecone-mcp | Reference for all Pinecone MCP server tools and their parameters | | pinecone-full-text-search | Build a full-text-search index — schema design, safe bulk ingestion, and query construction (text / query_string / dense / sparse scoring with text-match and metadata filters). Preview API (2026-01.alpha); requires pinecone Python SDK ≥ 9.0. | | pinecone-docs | Curated links to official Pinecone documentation, organized by topic | | pinecone-n8n | Build n8n workflows with the Pinecone Assistant node or Pinecone Vector Store node, including best practices and full workflow JSON generation |

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Which skill should I use?

Just getting started? → pinecone-quickstart

Want to search an index you already have?

• Integrated index (built-in embedding model) → pinecone-query (uses MCP)
• Any other index type → pinecone-cli

Working with documents and Q&A? → pinecone-assistant

Building a full-text search index (BM25-style keyword/phrase matching, optionally combined with dense or sparse vectors)? → pinecone-full-text-search (preview API, needs pinecone Python SDK ≥ 9.0)

Building an n8n workflow with Pinecone (RAG pipeline, chat with docs)? → pinecone-n8n

Need to manage indexes, bulk upload vectors, or automate workflows? → pinecone-cli

Looking up API parameters or SDK usage? → pinecone-docs

Need to understand what MCP tools are available? → pinecone-mcp

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: pinecone-io
• Source: pinecone-io/skills
• License: MIT

Install and usage instructions live in the source repository linked above.