Simple RAG Demo

Upload your own text file, ask a question, and answer from retrieved context.

RAG Learning Resources

Useful articles and docs for students to understand Retrieval-Augmented Generation from beginner to advanced.

RAG Paper (2020)
Original research introducing Retrieval-Augmented Generation.
Microsoft RAG Overview
Clear architecture-level explanation of RAG systems.
LangChain RAG Concepts
Simple explanation of indexing, retrieval, and generation steps.
Vector DB Basics (Pinecone)
Learn embeddings and vector search used in modern RAG.
Hugging Face RAG Model Docs
Technical documentation for a classic RAG model implementation.
Practical RAG Guide
Hands-on explanation of why and how to build RAG apps.
1) Setup
No key? Create one at console.groq.com
Only .txt files for this beginner demo.
Loaded Documents
  • No documents loaded yet.
How this RAG works
  1. Split uploaded text into chunks.
  2. Find chunks matching words in your question.
  3. Send those chunks as context to Groq.
3) Ask a Question
Try: What does the document say about system design?
This demo uses basic keyword retrieval for learning.