Ask questions. Get answers grounded in your data.
A hands-on implementation of Retrieval-Augmented Generation. Upload documents, ask questions, see the magic happen.
✓ Based on product-docs.pdf:"The key features include real-time sync, AI-powered search..."
How RagXGen Works
A complete RAG pipeline from document upload to grounded answers
Document Upload
Upload PDFs and text files. Watch them transform into searchable vectors.
Semantic Search
Ask natural language questions. Find relevant context instantly.
Grounded Answers
LLM responses backed by your actual documents. No hallucinations.
Vector Storage
FAISS-powered similarity search. Fast and efficient retrieval.
Why Retrieval-Augmented Generation?
Reduce Hallucinations
Ground LLM responses in actual documents, not training data fantasies.
Access Fresh Data
Query documents from today, not just the LLM's training cutoff.
Cite Your Sources
Know exactly which documents informed each answer.
Tech Stack
Next.js
Frontend
FastAPI
Backend
LangChain
RAG
FAISS
Vector DB
OpenAI
LLM
Ready to see RAG in action?
Upload your documents and ask questions. Experience the power of retrieval-augmented generation first-hand.
Launch Live Demo