AI-Powered Document Q&A App with LangChain & Chroma VectorDB OpenAI Agent Building + RAG + LangChain Claude Cursor Development

Imagine having a smart assistant that instantly answers questions from any document — PDF, Excel, Word, or text. 🌊 I built an AI-powered Document Q&A app where users upload files, and the system extracts, chunks, and stores data in a Chroma vector database. Using LangChain’s RAG pipeline with OpenAI embeddings, it retrieves the most relevant info and responds in natural language. 🚀 This project highlights my skills in full-stack dev, AI integration, vector DBs, and building user-friendly, real-world AI apps. app also crawls pages using Apify scrapers