Top AI Project by Categories

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

Sim Studio is an open-source AI agent workflow builder. Sim Studio's interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools.

AI Agent Builder in Python

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.

Laminar - open-source all-in-one platform for engineering AI products. Create data flywheel for your AI app. Traces, Evals, Datasets, Labels. YC S24.

Chat with any codebase in under two minutes | Fully local or via third-party APIs

Dynamiq is an orchestration framework for agentic AI and LLM applications

一个轻量级、支持全链路且易于二次开发的大模型应用项目(Large Model Data Assistant) 支持DeepSeek/Qwen2.5等大模型 基于 Dify 、Ollama&Vllm、Sanic 和 Text2SQL 📊 等技术构建的一站式大模型应用开发项目，采用 Vue3、TypeScript 和 Vite 5 打造现代UI。它支持通过 ECharts 📈 实现基于大模型的数据图形化问答，具备处理 CSV 文件 📂 表格问答的能力。同时，能方便对接第三方开源 RAG 系统 检索系统 🌐等，以支持广泛的通用知识问答。

TypeScript AI Framework specialized AI Function Calling enhanced by compiler skills.

Parsing-free RAG supported by VLMs

Minimalist LLM Framework in 100 Lines. Enable LLMs to Program Themselves.

Fullstack "Chat with your PDFs" RAG (Retrieval Augmented Generation) app built fully on Cloudflare

A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.

✨ AI interface for tinkerers (Ollama, Haystack RAG, Python)

Autonomous software development agent apps using Amazon Bedrock, capable of customize to create/edit files, execute commands, search the web, use knowledge base, use multi-agents, generative images and more.

A web-based tool for visualizing and exploring artifacts from Microsoft's GraphRAG.

Turn any app into agent knowledge

Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams.（Flock 是一个基于workflow工作流的低代码平台，用于快速构建聊天机器人、RAG、Agent和Muti-Agent应用。）

This repo contains the code for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks" [ICLR25]

Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.

Local LLM Powered Recursive Search & Smart Knowledge Explorer

AskTube - An AI-powered YouTube video summarizer and QA assistant powered by Retrieval Augmented Generation (RAG) 🤖. Run it entirely on your local machine with Ollama, or cloud-based models like Claude, OpenAI, Gemini, Mistral, and more.

[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Graph Foundation Model for Retrieval Augmented Generation

AI agent to search Google Flights data

Local RAG researcher agent built using Langgraph, DeepSeek R1 and Ollama

Too many docs? Quickly search over any PDF or Markdown documents

Jupyter Notebooks for Mastering LLM with Advanced RAG Course

This project is a dynamic AI Agent chatbot that can be trained from various sources, such as PDFs, documents, websites, and YouTube videos.

Building blocks for rapid development of GenAI applications

graph + ai in your products; reduce costs and get correct answers from your data

Coffee Chat Voice Assistant is a voice-driven ordering system powered by Azure OpenAI GPT-4o Realtime API, simulating the experience of ordering coffee with a café barista. It supports natural conversations, live order updates, and real-time transcription, showcasing the power of AI for seamless customer interactions.

Blueprint for Ingesting massive volumes of live or archived videos and extract insights for summarization and interactive Q&A

这是一个汇集了众多优秀大型语言模型应用的合集，这些应用采用了检索增强生成（RAG）技术，并使用了 OpenAI、Anthropic、Gemini 以及开源模型。Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

从零开始基于 LangGraph 和 Streamlit 实现基于本地模型的 RAG、Agent 应用

minRAG is a RAG system that starts from scratch, pursuing the ultimate simplicity and power. It consists of no more than 10,000 lines of code, requires no installation, and can be launched with a double-click

SpeakingAI is a demo of privately deployable 'GPT-4o like AI + RAG', a fully functional web AI server with audio query/answer in streaming, using LLM and RAG for backend knowledge.

A comprehensive tool designed to enhance the retrieval and generation of academic content from the arXiv database, leveraging advanced Retrieval-Augmented Generation (RAG) techniques.

Lecca.io | AI Agents & Automations

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

REST API for computing cross-modal similarity between images and text using the ColPaLI vision-language model

ACLReady, a retrieval-augmented language model application that can be used to empower authors to reflect on their work and assist authors with the ACL checklist.

DocGPT (Doctor GPT) is an advanced medical diagnosis system that combines Vision Transformer (ViT) based deep learning models with LangChain agents to provide comprehensive medical image analysis and detailed diagnostic reports. The system leverages the power of PyTorch for deep learning and Groq's LLM for generating human-like medical insights.

一个开源的RAG框架，旨在为用户提供了一个强大、灵活且简单的开发环境。

A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container (Cloud Run or ECS).

This project combines Azure AI Search, Azure OpenAI Service, LangChain, React.JS, and Python FastAPI to create an intelligent system for managing Jira issues. It features advanced AI search for seamless document retrieval, a user-friendly React.JS front-end, and a robust Python FastAPI back-end.

Llama_RAG_System is a local Retrieval-Augmented Generation (RAG) system that leverages the LLaMA model to provide intelligent answers to user queries by processing uploaded PDFs and fetching relevant web information while ensuring privacy.

Next.js LangChain Gemini RAG Chatbot: An advanced Retrieval-Augmented Generation (RAG) chatbot that enables users to upload multiple PDFs and receive precise answers to their questions based on the content. Powered by LangChain and Gemini, this chatbot is built with Next.js and offers efficient PDF-based query handling for enhanced user engagement.

This application allows users to upload PDF files, process them, and ask questions about the content using a locally hosted language model. The system uses Retrieval-Augmented Generation (RAG) to provide accurate answers based on the uploaded PDFs.

A web interface for GraphRAG. 🚀

AI chatbot with multiple trending LLMs and a RAG option to chat with your PDF documents

Multimodal-VideoRAG: Using BridgeTower Embeddings and Large Vision Language Models

This project(RAG) focuses on operationalizing LLMs by integrating OpenAI, MLflow, FastAPI, and RAGAS for evaluation. It allows users to deploy and manage LLMs, track model runs, and log evaluation metrics in MLflow. The project also features MLflow traces that logs all the user inputs ,responses ,retrieved contexts ,and other essential metrices.

Fivetran dbt package designed to generate an end model and Cortex Search Service (for Snowflake destinations only) which contains unstructured document data to be used for Retrieval Augmented Generation (RAG) applications leveraging Large Language Models (LLMs)

Chat with PDF locally: An advanced chatbot using Ollama/Openrouter LLMs to interactively extract information from PDFs, Using Streamlit & Ollama/Openrouter API and langchain

A RAG back and front end application

Build a powerful Deep Research AI agent like Gemini or ChatGPT. Using Next.js, Vercel AI SDK, and Exa Search API, An intelligent system that generates follow-up questions, crafts optimal search queries, and compiles comprehensive research reports.

Run Llama on serverless with multimodal RAG, with focus on reading files (But with limited token ofc)

an AI-powered customer support chatbot using Next.js and the OpenAI API.

Just some initial learning for usage of AI models within .NET platform with Semantic Kernel APIs

Python package for implementing Retrieval-Augmented Generation (RAG) using OpenAI's embeddings and a SQLite database with vector search capabilities

基于 ChatGLM 等大语言模型与 Langchain 等应用框架实现，开源、可离线部署的 RAG 与 Agent 应用项目

A Rust and Python Synthetic Integration for an agentic-LLM approach to build a research agent for local knowledge representation.

GPT-4o Agent - PartSelect Website - Information on 2 Million Parts

The Google Gemini Plugin for Hexabot Chatbot / Agent Builder to enable the LLM RAG Capability

A RAG-based question-answering system that processes user queries using local documents. It extracts relevant information to answer questions, falling back to a large language model when local sources are insufficient, ensuring accurate and contextual responses.

Multi RAG File System using Groq, Huggingface, Llama Index, Langchain

Project exploring RAG LLM agents

A RAG Application powered by Llama 3.2b and HuggingFace Embeddings

This repository highlights my learning journey in building Retrieval-Augmented Generation (RAG) pipelines using DeepSeek on Lightning AI, covering document ingestion, retrieval, and integration with generative AI. It showcases fine-tuning, evaluation, and optimization for accurate open-domain QA and knowledge management.

Docsifer is a powerful tool for converting various data formats into Markdown for applications such as indexing, text analysis, and more. It supports PDF, PowerPoint, Word, Excel, Images, Audio, HTML, and other text-based formats, and leverages LLMs to enhance performance.

A simple ReAct agent that has access to LlamaIndex docs and to the internet to provide you with insights on LlamaIndex itself.

This project demonstrates a Generative AI-powered assistant that streamlines the job application process using Google Gemini Pro. It analyzes a user’s resume against a job description, calculates a match score, suggests tailored bullet points, and generates a personalized cover letter — all formatted in structured JSON for automation.

​​LibRAG​​: A next-gen intelligent content retrieval engine that redefines traditional RAG architecture. Leveraging ​​full-chain LLM inference​​ to streamline document processing and paragraph recall, it eliminates embedding models/vector databases while achieving precise end-to-end semantic retrieval through deep language understanding .

A comprehensive RAG Evaluation Metric designed to measure the weighted similarity score by prioritizing semantic capture while also considering lexical alignment.

CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Leveraged advanced RAG techniques and a quantized version of LLaMA-3 with Llama-cpp to create a chatbot. Redis Streams and WebSockets were utilized to enable real-time interaction and keep track of chat history.

Multimodal RAG using LangChain and Vertex AI for advanced document search and Q&A over text and images. Leverage Google's Gemini models for enhanced knowledge retrieval.

This Streamlit application allows users to upload a PDF document and ask questions about its content using an AI model. The application utilizes the Groq API and the LLaMA model from Hugging Face to provide answers based on the extracted text from the PDF.

Improved RAG Architecture using semantic chunker, query input rewriter, and prompt engineering

Create Assistants for any of your favourite LLMs. Inspired by OpenAI's Assistants API

LLM Interview Preparation Assistant using RAG, ElasticSearch and Ollama/ChatGPT

A bunch of experiments using Large Language Models

This repository contains the materials and resources for the "Azure AI App-in-a-Day Hackathon." The hackathon is designed to provide hands-on experience with Azure Open AI and GPT models.

RAG-Enhanced-NCERT-Tutor is an AI-powered tutor for NCERT curriculum, using Retrieval-Augmented Generation (RAG) to provide accurate and contextually relevant answers. It integrates retrieval techniques with a language model to enhance learning by offering detailed explanations and resources based on real-time queries from NCERT materials.

AI-powered universal search for all your personal data, tailored just for you. Goal:The world's first product with "edge-side LLMs + consumer data localization" as its core development direction.

Coffee Chat Voice Assistant is a voice-driven ordering system powered by Azure OpenAI GPT-4o Realtime API and Azure AI Speech, simulating the experience of ordering coffee with a café barista. It supports natural conversations, live order updates, and real-time transcription, showcasing the power of AI for seamless customer interactions.

Arcade Tools for using LLMs to interact with Obsidian Vault contents

Lightweight RAG implementation for all your LLM endpoints

This repository is dedicated to the daily research and practical application of AI technologies, especially those revolving around LLM.

Chat with JFK assassination files using Exa.

HOLA! - End-to-end project aims to work with LLMs, covering data handling, chatbot development, integrating with various tools and frameworks by simplifying the lifecycle of LLM applications, including development, production and deployment. GROQ (a query language), Hugging Face models, ObjectBox (an embedded database), OpenAI models, and RAG model

This repository will guide you through making a RAG application for medical chatbot using Llama3-OpenBioLLM-70B

A personal AI chatbot, answering specialized questions relating to Carleton University's Computer Science program. Built using NextJS, React and using OpenRouter API, and deployed on AWS EC2 server.

evdschat is an open-source Python package designed to enhance the evdspy package by allowing users to interact with the evdschat Application. This Node.js project aims to provide the most specific and accurate data users request during conversations, based on arguments such as start date, end date, and aggregation type, as described in the evdspy.

Hello World RAG - Chatbot Comparison

Retrieval-Augmented-Generation (RAG) Question Answering pipeline built with LangChain and Groq API

An AI-powered customer support chatbot using Next.js and the OpenAI API

This project is an NLP-based legal assistant using LLMs and RAG to provide accurate IPC-related legal information. It features a user-friendly interface built with Streamlit, enhancing legal accessibility and understanding.