i3

Community

Build RAG locally, zero cost.

AuthorHosungYou
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the creation of a RAG (Retrieval-Augmented Generation) system from research papers, enabling efficient local vector database construction with zero cost for embeddings and database.

Core Features & Use Cases

  • RAG System Builder: Creates a RAG system from PRISMA-selected papers.
  • Zero-Cost Stack: Utilizes free local embeddings (all-MiniLM-L6-v2) and ChromaDB.
  • PDF Handling: Downloads PDFs, extracts text, chunks documents, and builds a vector database.
  • Use Case: When you have a collection of research papers and need to build a searchable knowledge base for AI-powered analysis, this Skill streamlines the entire process.

Quick Start

Use the i3 skill to build a RAG system for the project located at /path/to/your/project.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: i3
Download link: https://github.com/HosungYou/Diverga/archive/main.zip#i3

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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