A Python Search Engine for Humans 🥸

HR Policy Assistant (RAG-based Chatbot) A conversational AI assistant for employees to query company HR policies. Built with LangChain and Qdrant, it semantically ingests HR documents, retrieves relevant policy information, reranks results with BM25/MMR, and delivers precise LLM-generated responses.Cloud-based vector storage ensure quick responses.

This repository provides a fully modular implementation of a Retrieval-Augmented Generation (RAG) pipeline tailored for Italian legal-domain documents.

A complete end-to-end RAG system that scrapes Britannica's France geography content, creates vector embeddings, and provides intelligent Q&A capabilities through a FastAPI backend and beautiful Streamlit UI.

RAG Playground to demonstrate different retrieval types

Week 5 project: build a hybrid retriever that fuses FAISS dense vectors with SQLite FTS5/BM25 keyword search (RRF/weighted fusion), plus a Supervised Fine-Tuning (SFT) pipeline (Full FT vs LoRA/QLoRA) using TRL/PEFT/DeepSpeed.

This repository is a 'Chat-with-your-PDF' project using RAG approach.

Production-ready Retrieval-Augmented Generation (RAG) system with hybrid retrieval, Self-RAG agent workflows, cross-encoder reranking, and comprehensive benchmarking.

📄 Create a local, free Retrieval-Augmented Q&A system to easily extract answers from your personal documents in minutes.