pinecone-help

📁 pinecone-io/skills 📅 8 days ago
4
总安装量
4
周安装量
#47908
全站排名
安装命令
npx skills add https://github.com/pinecone-io/skills --skill pinecone-help

Agent 安装分布

amp 4
github-copilot 4
codex 4
kimi-cli 4
gemini-cli 4
cursor 4

Skill 文档

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.


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

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-docs Curated links to official Pinecone documentation, organized by topic

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

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