Simple Index is a chatbot/QA system that allows users to ask questions about their documents. It scans a specified folder, indexes data, and initializes a chatbot or QA system based on the model. Built on the Langchain library, it offers a web-based chat UI and command-line interaction. Utilize Docker for deployment or run manually with Python.

Web-based QA Chatbot that scrapes content from any URL, embeds it using FAISS, and answers user queries using a history-aware RAG pipeline powered by Gemini LLM. Deployed on AWS EC2 with Docker for seamless cloud access.

YubiBot – Financial Document QA Chatbot: A RAG-based AI tool that answers questions from uploaded financial PDFs. Built with LangChain, ChromaDB, FastAPI, and Streamlit, it enables PDF parsing, vector search, and natural language queries through an interactive web interface.

AI-powered Medical QA Chatbot using RAG 🚀 A document-based medical question answering system built with LangChain, Groq LLaMA 3, and Pinecone. Ask medical questions and get accurate, context-aware answers with conversation memory support—all via a Flask web chat interface.

No description available

A Retrieval-Augmented Generation (RAG) chatbot powered by Groq's Gemma 2B/9B, Ollama embeddings, LangChain, and Chroma vector store. The chatbot can answer user queries based on content scraped from a specified web page, with context-aware conversational memory using chat history.

On-prem sovereign AI chatbot demo based on Apertus LLM, with an OpenAI-compatible API surface, web UI, QA tests, and performance benchmarking.

A web based QA chatbot which enables the user to ask questions about the latest developments of financial institutions , banks and the market.

A web-based question answering (QA) application powered by deep learning, allowing users to interact with a chatbot trained on a dataset extracted from Wikipedia pages.

🧠 RAG-based QA chatbot built using LangGraph, FAISS vector search, HuggingFace embeddings, Tavily web search, and Meta LLaMA 3.2 1B Instruct. Leverages structured document retrieval and memory-enhanced conversational flow.

A web-based QA chatbot that answers questions from any webpage using LLMs. Built with FastAPI, Streamlit, LangChain, and OpenAI. Includes URL content extraction, summarization, vector search, and history tracking for seamless user interaction.

This Streamlit web app automates QA pair generation using agent configuration and knowledge base files. Powered by OpenAI API, it helps educators, support teams, and chatbot developers quickly create high-quality, context-aware QA pairs for conversational AI systems.

ChatterBot-QA-SA is a Flask-based chatbot using DistilBERT for question-answering and sentiment analysis. It extracts answers from context and classifies sentiment as positive, neutral, or negative, ensuring smooth user interaction through its web interface. 🚀

QA Learn is a web app for SQA pre-screening test preparation, featuring ML-based OCR and an AI chatbot. It's designed for aspiring Software Quality Assurance Engineers, offering open access to interactive, personalized learning. The app integrates OCR, an AI chatbot, and live chat to provide a user-centric experience.