⭐零门槛的3D桌面伴侣！支持接入微信/QQ/B站直播、RAG、联网、长期记忆、代码沙盒、表情包、浏览器控制、Home Assistant、MCP、A2A、Comfyui等功能！⭐ A 3D desktop companion with zero barriers! Supports integration with WeChat/QQ/Bilibili live streaming, RAG, internet connectivity, long-term memory, code sandbox, meme packs, browser control, Home Assistant, MCP, A2A, ComfyUI, and more!

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.

Prototype SDK for RAG development.

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

AnythingLLM Embed widget submodule for the main AnythingLLM application

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

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

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.

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

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

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.

Aquiles-RAG is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis or Qdrant. It offers a high-level interface using FastAPI REST APIs

Fullstack RAG as a service template

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

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.

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

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.

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.

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

A Retrieval-Augmented Generation (RAG) system that leverages Google's Agent Development Kit (ADK) and Qdrant vector database via MCP server.