RAG-for-NCERT
PublicA professional-grade Retrieval-Augmented Generation (RAG) system designed for intelligent question-answering over NCERT textbooks of Class 11 and 12. This project integrates LangChain, Qdrant vector store, Dockerized LLM backend using Ollama, and PDF data pipelines to deliver accurate and contextual answers to academic questions.