Prototype SDK for RAG development.

Open-source, self-hosted alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase and N8N on a React frontend.

⭐A 3D AI desktop companion with limitless possibilities! With RAG, web search, long-term memory, Code Interpreter, MCP, A2A, Comcfyui, QQ bot, and more features!⭐拥有无限可能性的3D AI桌面伴侣！已支持RAG、网络搜索、长期记忆、代码解释器、MCP、A2A、Comcfyui、QQ 机器人以及更多功能！

AnythingLLM Embed widget submodule for the main AnythingLLM application

MediNotes: SOAP Note Generation through Ambient Listening, Large Language Model Fine-Tuning, and RAG

pdfLLM is a completely open source, proof of concept RAG app.

Open-source, fully private and local alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase, N8N on a React frontend using Ollama for local inference

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.

Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.

A RAG agent using Google's ADK & Vertex AI that lets set up semantic search across documents in under 2 minutes. Features GCS integration and natural language querying

Build and deploy a full-stack RAG app on AWS with Terraform, using free tier Gemini Pro, real-time web search using Remote MCP server and Streamlit UI with token based authentication.

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

AI-powered chatbot that provides guidance using YouTube video content as a knowledge base. Built with RAG architecture using LangChain, Qdrant, and Google Gemini AI, ElevenLabs and Streamlit.

Fullstack RAG as a service template

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

An Interactive Infinite Story Generation Framework Based on Multi-Agent

A Retrieval-Augmented Generation (RAG) Chat Bot that provides accurate responses based on available documents. This application uses PostgreSQL with pgvector extension for storing and searching vector embeddings, and OpenAI for generating embeddings and responses.

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

A full-stack document management and AI chat application that enables users to upload, manage, and chat with their documents using AI. Built with Semantic Kernel, ASP.NET Core Web API backend, and Angular frontend.

This project will always be in development, as it is my personal website and will evolve along with my life journey. This project is built using TypeScript, Next.js, and Tailwind CSS.