rag-chatbot

There are 79 repositories under rag-chatbot topic.

  • upstash/rag-chat

    Prototype SDK for RAG development.

    Language:TypeScript250112356

  • Mintplex-Labs/anythingllm-embed

    AnythingLLM Embed widget submodule for the main AnythingLLM application

    Language:JavaScript1207077

  • SkidGod4444/x0-GPT

    x0-GPT is an advanced AI-powered tool that enables you to interact seamlessly with any website or document (including PDFs) using natural language. Whether you're looking to extract specific data, automate tasks, or gain insights, x0-GPT makes it possible with ease. Best of all, it's free and accessible to everyone.

    Language:TypeScript38217

  • Dphenomenal101/rag-chatbot

    An open-source template for building a RAG chatbot for your company 🤖

    Language:TypeScript21103

  • neemiasbsilva/case-study-data-science

    Welcome to some case study of data science projects - (Personal Projects).

    Language:Jupyter Notebook19106

  • WyseOS/fictionx-story-gen

    An Interactive Infinite Story Generation Framework Based on Multi-Agent

    Language:Python17101

  • gaeldatascience/iattorney-french-legal-rag

    IAttorney is an intelligent legal assistant built using Flask, LangChain, FAISS, OpenAI, and a RAG (Retrieval-Augmented Generation) pipeline.

    Language:Python7

  • JawherKl/rag-explained

    Retrieval-Augmented Generation (RAG) Explained, covering its working principles, components, benefits, applications, challenges, and future prospects.

    Language:Jupyter Notebook72

  • johnnybui/okos

    Okos is a Telegram AI Assistant built with TypeScript, LangGraph, and multiple AI model providers. It maintains conversation context and provides summaries of interactions.

    Language:TypeScript7100

  • adisystems/fmbench-assistant

    AI Assistant for FMBench (foundation model benchmarking tool)

    Language:Python62

  • arnobt78/RAG-AI-ChatBot--NextJS

    AI-Rag-ChatBot is a complete project example with RAGChat and Next.js 14, using Upstash Vector Database, Upstash Qstash, Upstash Redis, Dynamic Webpage Folder, Middleware, Typescript, Vercel AI SDK for the Client side Hook, Lucide-React for Icon, Shadcn-UI, Next-UI Library Plugin to modify TailwindCSS and deploy on Vercel.

    Language:TypeScript6211

  • Ayush-Patel-10/RAG-using-Azure-Databricks-CI-CD

    End-to-end deployment of a scalable RAG chatbot utilizing LangChain for retrieval-based QnA. The project leverages robust CI/CD practices integrating MLFlow with emphasizes on cost analysis.

    6204

  • simranjeet97/Learn_RAG_from_Scratch_LLM

    Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python

    Language:Jupyter Notebook6104

  • jeannotdamoiseaux/GovChat-NL-Legacy

    GovChat-NL is a Dutch government-focused fork of azure-search-openai-demo. It integrates ChatGPT-style Q&A with an app launcher for LLM-powered applications, designed for secure and shared use in the public sector.

    Language:Python51142

  • jargonsdev/ai

    The AI-Powered assistant for jargons.dev ecosystem

    Language:TypeScript4021

  • 10mudassir007/Multiple-RAG-Systems

    A comprehensive library for Retrieval-Augmented Generation (RAG), featuring both basic and advanced RAG implementations. Built with LangChain for sophisticated RAG pipelines and LlamaIndex for a lightweight, simple RAG setup. Ideal for developers exploring knowledge retrieval and augmentation with LLMs. 🚀

    Language:Jupyter Notebook3100

  • keploy/rag-bot

    Rag bot for Keploy Docs and Website

    Language:Python312

  • Lakshya0257/RAGAgent-DocumentAI

    A full-stack, microservices-based application for secure document management, enabling users to upload, parse, index, and query various file types through advanced NLP and RAG agents. Built with Docker and Kubernetes for scalability, and integrates Elasticsearch, Redis, and AWS S3 for efficient storage and search capabilities.

    Language:TypeScript30

  • fatimaazfar/RAG

    This project implements a Retrieval-Augmented Generation (RAG) model that uses a directory containing text files as documents for information retrieval and generation. The model combines retrieval and generation capabilities to answer questions based on the provided documents.

    Language:Jupyter Notebook210

  • mrsamirr/ask-this-website

    Your One-Stop Gateway to the Ultimate Unified AI Assistant for All Your Needs.

    Language:TypeScript2100

  • NASO7Y/RAG-PDF-Search

    A Streamlit-based Retrieval-Augmented Generation (RAG) application that enables searching within PDF files using Ollama and DeepSeek R1. It leverages FAISS for vector search, HuggingFace embeddings, and LangChain for document retrieval and response generation in Arabic.

    Language:Python2

  • NotPunchnox/RAG-Ollama-JS

    Ce projet est un logiciel de Retrieval-Augmented Generation (RAG) développé en Node.js avec LangChain et Ollama.

    Language:JavaScript2100

  • renaldiangsar/Customer-Support-RAG

    Customer Support Chatbot that answer all your question about what your purchase. The Chatbot is build with Langchain, chromaDB, Groq, HuggingFace, Streamlit, and etc.

    Language:Python2

  • shib1111111/Cache-Augmented-Generation

    This repository demonstrates Cache-Augmented Generation (CAG) using the Mistral-7B model.

    Language:Jupyter Notebook2101

  • AlecBytes/rag-chatbot-alec

    RAG Chatbot - Answers Questions About Alec.

    Language:TypeScript1

  • ArmaanMistry/health_optimization

    An AI-driven solution for optimizing patient scheduling and resource allocation in healthcare facilities. This project features a predictive analytics dashboard powered by Prophet for forecasting patient inflows, real-time staffing recommendations, and an interactive chatbot using LangChain and Neo4j for data-driven insights.

    Language:Python1100

  • clementsan/pdf-chatbot

    AI chatbot for PDF documents

    Language:Python1100

  • enricogoerlitz/ai-typecode-chat

    RAG-Architecture POC

    Language:Jupyter Notebook10

  • Hetav01/EfficienGPT

    EfficienGPT is a quick-learning engine designed to optimize knowledge acquisition using the Pareto Principle (80/20 Rule). By leveraging Open Source LLMs, MongoDB Atlas and LangChain, it provides fast, insightful, and actionable learning experiences tailored to individual needs.

    Language:Python1100

  • manifestinteractive/ai-chatbot

    AI Chatbot - Utilizes Ollama to have a 100% local AI Chatbot that you can use to Chat with your own domain knowledge. This Chatbot uses a custom 3D Background that dynamically changes based on the emotional state of the chatbot, which is determined based on sentiment analysis.

    Language:JavaScript1

  • MH-Anari/Local-LLMs

    Some useful notebooks for deploy open-source LLMs using Ollama and Langchain. Simple ChatBot, RAG and etc.

    Language:Jupyter Notebook1

  • natgluons/HiringHelp-Chatbot

    A chatbot that helps with hiring-related questions using RAG (Retrieval-Augmented Generation) with LangChain

    Language:Python10

  • RifqiAnshariR/faq-chatbot

    FAQ Chatbot using RAG Technique.

    Language:Jupyter Notebook1

  • slv-ai/YumQuest

    YumQuest is a QA chatbot built using RAG. This is the end-to-end LLM project I developed while participating in the LLM Zoomcamp.

    Language:Jupyter Notebook10

  • SubhamIO/rag-qna-chatbot

    RAG-QnA-CHATBOT - upload your pdf files and ask your queries.

    Language:Python1

  • uzumstanley/RAG-System

    RAG-system-powered-by-deepseek-r1

    Language:Python1