Build a GenAI-Powered Question & Answer Generator with LangChain, Groq, and FAISS

1. 1Build a RAG pipeline using LangChain and Groq to generate questions and answers from PDFs
2. 2Configure FAISS for efficient vector similarity search and retrieval
3. 3Integrate the RAG pipeline with FAISS to enable intelligent question answering
4. 4Test and fine-tune the model using a dataset of exam questions and answers
5. 5Deploy the model as a web application or API for users to interact with

This project benefits data scientists, AI engineers, and educators who want to create intelligent exam preparation tools using GenAI and RAG

💡 Retrieval-Augmented Generation (RAG) can be used to create intelligent exam preparation tools that generate questions and answers from PDFs

🤖 Build a GenAI-powered question & answer generator with LangChain, Groq, and FAISS for intelligent exam prep! 📚