pinecone-claude-code-plugin

🥈Silver

The Pinecone Claude Code Plugin integrates Pinecone's vector database into Claude Code for semantic search, index management, and RAG workflows. Operations teams can enhance data retrieval and analysis, connecting Claude Code with Pinecone's vector database for improved information processing.

4010Updated Today

Intermediate30min to implementautomation

Saves ~30 min per use

Quick InstallView Source

git clone https://github.com/pinecone-io/pinecone-claude-code-plugin.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/pinecone-io/pinecone-claude-code-plugin

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I want to use the Pinecone Claude Code Plugin to perform a semantic search on [DATA] related to [INDUSTRY]. Please guide me through the process of setting up the connection, querying the data, and interpreting the results. I'm working with [COMPANY] and need to ensure this integration aligns with our data security policies.

Example Output

# Semantic Search Results for [INDUSTRY] Data

## Query: "[DATA] trends in [INDUSTRY]"

### Top 3 Relevant Documents:
1. **Document ID: doc_456**
   - **Relevance Score:** 0.92
   - **Summary:** This document discusses the latest trends in [DATA] within the [INDUSTRY], highlighting the impact of [specific trend].
   - **Key Points:**
     - [specific trend] is driving significant changes.
     - [COMPANY] is mentioned as a key player in this area.

2. **Document ID: doc_789**
   - **Relevance Score:** 0.85
   - **Summary:** An analysis of [DATA] challenges in [INDUSTRY], focusing on [specific challenge].
   - **Key Points:**
     - [specific challenge] is a major concern for [COMPANY].
     - Potential solutions include [solution].

3. **Document ID: doc_123**
   - **Relevance Score:** 0.78
   - **Summary:** A case study on how [COMPANY] implemented [specific solution] to address [DATA] issues.
   - **Key Points:**
     - Implementation resulted in a 20% improvement in [specific metric].
     - Lessons learned include [lesson].

## Next Steps:
- Review the full content of the top documents for detailed insights.
- Consider setting up a follow-up query to delve deeper into [specific trend] or [specific challenge].
- Ensure compliance with [COMPANY]'s data security policies when handling the retrieved information.