RAG-system and Retrieval-Augmented-Generation-RAG---Uni-Disciplinary

About RAG-system

xumozhu/RAG-system

Retrieval-Augmented Generation system: ask a question, retrieve relevant documents, and generate precise answers. RAG demo: document retrieval + LLM answering

This tool helps you get precise answers to questions based on your own PDF documents. You input your collection of PDFs and ask a question in plain language. The system retrieves relevant information from your documents and then generates a clear, concise answer. It's ideal for analysts, researchers, or anyone who needs to quickly extract specific facts from a set of business, research, or operational documents.

About Retrieval-Augmented-Generation-RAG---Uni-Disciplinary

albrud199/Retrieval-Augmented-Generation-RAG---Uni-Disciplinary

A Retrieval-Augmented Generation (RAG) system that answers university disciplinary policy questions using semantic search, vector databases, and an LLM.