Does this skill require coding to set up RAG?

No, it automates chunking, embedding, and indexing so you can create a fully functional knowledge base using simple natural language commands.

How does the sync feature work?

The sync command uses mtime and size detection to identify new or changed local files and updates the Pinecone Assistant accordingly, with an optional flag to delete missing files.

What file formats are supported?

The Pinecone Assistant skill supports PDF, DOCX, TXT, MD, and JSON files, making it ideal for natural language documentation.

Does it provide source citations?

Yes, every response generated through the assistant includes citations pointing to the specific source file and page numbers for PDF documents.

Can I use this for source code search?

No, this skill is optimized for document-based content and natural language. For codebase search, we recommend Pinecone's vector database with specialized code embeddings.

Pinecone Document Assistant

Name: Pinecone Document Assistant
Author: pinecone-io

bypinecone-io

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内容管理

Manages Pinecone Assistants to enable natural language Q&A and document retrieval with automated RAG workflows.

The Pinecone Assistant skill provides a seamless interface for Claude to manage a fully automated Retrieval Augmented Generation (RAG) service. It allows users to create AI-powered knowledge bases from local documentation, research papers, and guides without writing complex embedding pipelines. By recognizing natural language requests, the skill handles file chunking, indexing, and synchronization, enabling Claude to answer questions with precise citations and page-level references from your uploaded files.

主要功能

01Interactive Q&A with verifiable source citations and page numbers

0236 GitHub stars

03Proactive natural language intent recognition for assistant operations

04Context retrieval for extracting specific knowledge snippets without full chat

05Smart directory synchronization with local file change detection

06Automated document processing, chunking, and indexing for RAG

使用场景

01Analyzing large sets of research papers or whitepapers with cited responses

02Building an instant-expert Q&A system from product manuals or API documentation

03Managing internal company knowledge bases through simple terminal commands

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pinecone-io/pinecone-claude-code-plugin assistant

For use in Claude.ai and ChatGPT

Download Skill