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An LLM-powered Slack bot built with Langchain.

Multimodal chatbot project using five LLM-based approaches including RAG, PEFT, and prompt engineering, built on the BioASQ dataset for biomedical QA.

This is a chatbot powered by a large langauge model that answers questions about the video game Albion Online, using scraped information from the wiki.

ChatBotDSinHVAC is a specialized Question-Answering (QA) chatbot tailored for the HVAC domain. Built with Python and powered by a custom domain-specific vector knowledge base, this project was developed to bridge the gap between Large Language Models (LLMs) and specialized engineering disciplines. This is a personal project developed in 2023.

project is on RAG model using LLM model for generating response and integrated to a QA chatbot for interface

QA framework for testing conversational AI systems (LLM agents, chatbots, voice assistants) with workflow validation and regression checks

A document-based Question Answering (QA) chatbot using FAISS for vector search, SentenceTransformers for embeddings, and HuggingFace LLM Model for answer generation. Supports PDF, DOCX, TXT, XLSX, and CSV file ingestion, chunking, and semantic search.

A Document QA chatbot using LangChain, Pinecone for vector storage, and Amazon Bedrock (mistral.mixtral-8x7b-instruct for LLM and titan-embed-text for embeddings). Built with a Streamlit frontend for document uploads and contextual question answering.

LLM-PDF QA SEARCH ENGINE🔍 is a Streamlit app utilizing LangChain and OpenAI models to create a chatbot for PDF documents. It enables users to upload PDFs, ask questions, and receive answers, all in one interface.

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.

A basic llm chatbot for QA.

LLM-Based QA Chatbot for NLP Lectures

Parameter efficient finetuning of LLM with RAG system for SUTD QA chatbot

Prototype LLM chatbot for car reviews: sentiment analysis, translation, QA, and summarization.

Secure enterprise RAG chatbot with RBAC, guardrails, ChromaDB, and Groq LLM for document-based QA.

Table Tennis QA Chatbot | AI‑powered hybrid search (BGE reranker + vector/lexical) + DeepSeek LLM for accurate answers

Monorepo for Retrieval-Augmented Generation (RAG) and LLM-based projects, including citation-aware chatbots and document QA systems.

High-performance RAG Chatbot built with FastAPI and LangChain for context-aware QA, leveraging Groq for low-latency LLM generation.

An LLM-based QA testing system for chatbots inspired by Westworld, using multi-turn conversations to discover policy violations.

This is a repo for a human-interface LLM-powered QA Slack chatbot for answering questions related to DataTalks.Club Zoomcamps

AI Chatbot using LLM (LangChain + Retrieval QA) Built an intelligent chatbot using LangChain and LLMs for document-based Q&A. Implemented Retrieval-Augmented Generation (RAG) using vector databases. Integrated HuggingFace embeddings and semantic search.

AI-powered QA Support Chatbot built with FastAPI and local LLM, designed for real-time question answering and customer support automation.

A robust, modular pipeline for automated LLM chatbot evaluation, using DeepEval, GROQ models, and Confident AI dashboard logging. Designed for systematic QA, reliable evaluation, and portfolio-quality results in AI/QA engineering.

Applying rag system to build chatbot for AI/ML enthuasist to ensure thier QA make better understand with examples : tool Ollama LLM models

Production-grade GenAI QA automation framework for UAsk with pytest, Playwright, RAGAS metrics, and CI/CD quality gates for evaluating LLM-based government services chatbots.

RAG-powered QA system using LLMs & retrieval (FAISS/Pinecone) for accurate answers from custom datasets (PDFs/docs/web). Ideal for chatbots, knowledge bases & research. Open-source & scalable. 🚀

A domain-specific LLM-powered chatbot that answers technical questions about robotics topics like ROS, sensors, SLAM, and more. Uses document-based QA over robotics PDFs for context-aware support.

This project is a Streamlit-based QA chatbot built with LangChain and Groq LLMs. It supports dynamic model selection, prompt templating, and response generation. LangSmith integration enables tracing of prompts, responses, token usage, and performance for monitoring and debugging LLM interactions.

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.