#rag-chatbot

An Agentic RAG-powered chatbot delivering intelligent, fact-grounded and context-aware answers for the DIEM Department at the University of Salerno.

Explainable, retrieval-based medical question answering chatbot built on NIH-sourced data

An intelligent e-commerce assistant featuring a multi-agent routing architecture that combines a RAG pipeline for FAQ retrieval with Text-to-SQL for dynamic product searches.

A RAG pipeline that reads PDFs and answers questions using LangChain and ChromaDB. The Streamlit app uses Qwen/Qwen2.5-7B-Instruct while a quantized Zephyr-7B LLM is used in the notebook.

AI Data Analyst agent (CSV/Excel/PDF/DOCX + live SQL DBs) and RAG document chat, built on a hand-rolled Gemini function-calling loop.

Federal Acquisition Regulation Retrieval-Augmented Generation (RAG) Chatbot

RAG chatbot that indexes your PDFs, DOCX & TXT files and answers questions with cited sources — powered by Groq + FAISS + LangChain

Medical RAG chatbot answering diabetic retinopathy questions with cited sources, built with LangChain, ChromaDB, sentence-transformers, and Llama 3.3 70B (Groq). Deployed on HuggingFace Spaces.

AI-powered PDF Question Answering Chatbot using RAG and Mistral AI

Benchmark 19 Vietnamese/multilingual embedding models on VN-MTEB Retrieval tasks for RAG chatbot selection

AI-powered PDF chatbot using RAG, React, FastAPI, FAISS, and LLMs. Upload PDFs, ask questions, search documents, and get AI-generated answers with source citations.

A clinical mental health companion powered by FastAPI, Next.js 14, and native Android. Implements RAG via LangChain, Groq (Llama 3), and Cohere embeddings with real-time sentiment tracking, mood analytics, and PDF consultation reports.

A Retrieval-Augmented Generation (RAG) chatbot that processes PDF documents and answers user queries using context-aware responses powered by Google's Gemini LLM.