README.md

metadata

title: LightRAG Practical Guide
emoji: 📚
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.31.0
app_file: app.py
pinned: false

LightRAG Practical Guide for Students

This Hugging Face Space is a practical implementation of the LightRAG framework using LangChain and Streamlit.

Features

• PDF Upload: Load your own documents for analysis.
• Configurable Parameters: Adjust chunk size, overlap, and top-k retrieval.
• Real-time Feedback: View processing messages and retrieved text chunks.
• Knowledge Graph: Visualize the relationships between document chunks in a dedicated tab.
• Local LLM: Powered by TinyLlama-1.1B-Chat for efficient local inference.

How to use

1. Upload a PDF file in the sidebar.
2. Wait for the indexing to finish (you'll see progress messages).
3. Ask questions in the "Q&A Interface" tab.
4. Explore the document structure in the "Knowledge Graph" tab.