Title: RAG-Powered PDF Analyzer — Chat With Any Document
Description: Built a document Q&A tool so users can upload any PDF and get instant, accurate answers grounded in the actual document content — no manual searching or skimming. Used LangChain for orchestration, FAISS for vector search, HuggingFace for embeddings, and Groq for fast LLM inference.
Result line: Cuts document research time from minutes of skimming to seconds of asking.
InteractDocs
Title: RAG-Powered PDF Analyzer — Chat With Any Document
Description: Built a document Q&A tool so users can upload any PDF and get instant, acc...