i3
CommunityBuild RAG locally, zero cost.
Education & Research#rag#vector database#research automation#local processing#embedding#pdf download
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 requiredComponents
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.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.