Project Case Study

RAG Question-Answering App

Featured Project

Retrieval-Augmented Generation (RAG) system for semantic search over PDFs and documents. Uses FAISS vector embeddings, LLM-powered answering, document parsing, and web UI for intelligent Q&A on custom documents.

RAG Question-Answering App

Project Overview

Retrieval-Augmented Generation (RAG) system for semantic search over PDFs and documents. Uses FAISS vector embeddings, LLM-powered answering, document parsing, and web UI for intelligent Q&A on custom documents.

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Project Details
  • Status: Featured
  • Created: Nov 2025
  • Repository: GitHub
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