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pinecone-help

pinecone-io

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This version passed the hardening gate. Hardening applied 2 targeted changes and preserved all other text. Classified findings before hardening: 2. Classified findings closed: 0. Classified findings remaining: 2. Unclassified scanner findings remaining: 0. Review findings closed: 1. Review findings remaining: 7.


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SKILL.md

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SKILL.md

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SKILL.md

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 make it available to this environment:

Optional (unlock more capabilities)

ToolWhat it enablesInstall

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

SkillWhat 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). Document-schema API (2026-07); requires pinecone Python SDK ≥ 10.0.0.

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


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 (document-schema API, needs pinecone Python SDK ≥ 10.0.0)

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

Install

Install with chainctl
chainctl skill install public/pinecone-io/pinecone-help:latest
Get started with chainctl
View source

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Provenance

Upstream sourcehttps://github.com/pinecone-io/skills
Upstream commit581efc7c810f6d3981f9510ceca5efb96d6c9c26
OCI reference

skills.cgr.dev/public/github.com/pinecone-io/skills/pinecone-help:latest

License

MIT

Files

HARDENING.md

LICENSE

SKILL.md


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