RAGIT (rag-it) is an innovative tool that transforms local files into a structured knowledge base, offering a user-friendly approach to knowledge sharing and management. Designed to mimic common git commands, RAGIT streamlines the process of creating and maintaining a personal knowledge repository with ease and efficiency.

Key Features

• Enhanced Chunk Management: RAGIT assigns a title and summary to each chunk of information, facilitating easier re-ranking by AI systems.
• Efficient Searching: Utilizing TF-IDF scores instead of traditional vector searches, RAGIT generates keywords from user queries to improve search relevance.
• Markdown Support: The framework fully supports markdown files, allowing users to include images and rich text formatting in their knowledge bases.
• Multi-Turn Query Capability: This experimental feature allows users to engage in ongoing dialogues with the RAGIT framework, enhancing interaction and information retrieval.
• Version Control: Knowledge bases can be cloned and pushed much like git, promoting collaboration and sharing among users.

Usage Example

Examples of commands for initializing and querying a knowledge base include:

rag init;
rag add --all;
rag build;
rag query "What makes ragit special?";

Interactive Documentation

RAGIT provides extensive documentation to guide users through its functionalities:

• Build
• Chunks
• Configuration
• Contribution
• Evaluation
• Pipeline
• Prompt Engineering
• Quick Guide

To try RAGIT interactively, use the following commands:

cargo install ragit;
rag clone http://ragit.baehyunsol.com/sample/ragit;
cd ragit;
export GROQ_API_KEY=YOUR_API_KEY;
rag query "How do I contribute to ragit?";

RAGIT stands out from other RAG frameworks by transforming personal files into an accessible and efficient knowledge repository, making it easier to capture and share insights. Explore the potential of RAGIT for managing information seamlessly.