A modular graph-based Retrieval-Augmented Generation (RAG) system

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

An open-source RAG-based tool for chatting with your documents.

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

Large Action Model framework to develop AI Web Agents

Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

The easiest way to use Agentic RAG in any enterprise

Containerized, state of the art Retrieval-Augmented Generation (RAG) system with a RESTful API

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Streamer-Sales 销冠 —— 卖货主播 LLM 大模型🛒🎁，一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。🚀⭐内含详细的数据生成流程❗ 📦另外还集成了 LMDeploy 加速推理🚀、RAG检索增强生成 📚、TTS文字转语音🔊、数字人生成 🦸、 Agent 使用网络查询实时信息🌐、ASR 语音转文字🎙️、Vue 生态搭建前端🍍、FastAPI 搭建后端🗝️、Docker-compose 打包部署🐋

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

AdalFlow: The library to build & auto-optimize LLM applications.

A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

🚀 An open-source SQL AI (Text-to-SQL) Agent that empowers data, product teams to chat with their data. 🤘

TEN Agent is a world-class multimodal AI agent integrated with the OpenAI Realtime API, RTC, and features weather checks, web search, vision, and RAG.

A simple, easy-to-hack GraphRAG implementation

Text-To-Speech, RAG, and LLMs. All local!

The Open Source Memory Layer For Autonomous Agents

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

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

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

Easiest and laziest way for building multi-agent LLMs applications.

RAG Search API

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy

A @ClickHouse fork that supports high-performance vector search and full-text search.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

🤖 Free Search with AI, 💡 Open-Source Perplexity, 📍 Support Ollama/SearXNG, Support Docker deployment. 让AI大模型和搜索引擎回答你的问题，支持本地大模型(Ollama)、聚合搜索引擎SearXNG，支持Docker一键部署。

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

An open-source AI content search engine designed specifically for content creators. Supports extraction of text, images, and short videos. Allows full local deployment (web app, RAG server, LLM server). Supports multi-modal RAG content Q&A.

An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.

Dynamiq is an orchestration framework for agentic AI and LLM applications

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

An Innovative Agent Framework Driven by KG Engine

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

AI Powered Search and Chat for Orgs - Think ChatGPT meets Google Search but powered by your data.

Parsing-free RAG supported by VLMs

Chat with multiple PDFs locally

The simplest and most cost-effective AI integration solution, enabling any device to achieve intelligent conversation functionality (based on ESP development boards). If you like this project, please give it a Star! | 最简单、最低成本的AI接入方案，让任何物品都能实现智能对话功能(基于ESP开发板)。喜欢本项目的话点个 Star 吧，您的一个 Star 对目前的仓库发展非常重要

RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.

Tech Stack for Building, Evaluating, and Deploying your LLM Application

A list of top AI agents

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

Most intuitive unified AI chat interface.

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

Automate the tedious development tasks with AI

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, LLMs, RAGs, LangChain, LangGraph, Fine-tuning Llama 3 & AI Agents (CrewAI)

An enterprise-grade AI retriever designed to streamline AI integration into your applications, ensuring cutting-edge accuracy.

Build, evaluate and observe LLM apps

Fast, streaming indexing and query library for AI (RAG) applications, written in Rust

A fuzzy key value store based on semantic similarity rather lexical equality.

A package for parsing PDFs and analyzing their content using LLMs.

Neo4j GraphRAG for Python

MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables natural language queries. Supports ChromaDB and Faiss for context-aware responses.

Create-tsi is a generative AI RAG toolkit which generates AI Applications with low code.

《prompt-collection-quickstart》是一份简洁高效的指南，帮助用户快速上手创建和管理提示工程库。通过清晰的步骤解析，从基本概念到高级技巧，该指南适合新手和经验丰富的开发者，提供丰富的示例与实用建议，让用户轻松掌握提示生成与优化的方法，为应用开发增添智能对话能力。

A python wrapper for the Doc2X API and comes with native texts processing (to improve PDF recall in RAG). | Doc2X API的python封装，同时附带本地的文本处理(提升PDF在RAG中的召回率)。

Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.

Connect Data Silos with Explainable AI⚡🚀

End-to-End Local-First Text-to-SQL Pipelines

开箱即用的基于企业私有知识库的LLM大语言模型的智能客服机器人问答系统，支持私有化部署，代码免费开源且可商用，由芝麻小客服官方推出。

Knowledge graph construction and RAG demo using Diffbot and Neo4j

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

Open source alternative to Perplexity AI with ability to run locally

This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing data and user access. It uses Django, Llamaindex, and Google Drive for effective database management.

An Educational Project (step by step) to teach how to build a production-ready app for RAG application.

Benchmarking library for RAG

A curated list of retrieval-augmented generation (RAG) in large language models

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

A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG

Documentation of AnythingLLM by Mintplex Labs Inc.

Context-aware structured outputs. Search your documents or the web for specific data and get it back in JSON or Markdown.

Belullama is a comprehensive AI application that bundles Ollama, Open WebUI, and Automatic1111 (Stable Diffusion WebUI) into a single, easy-to-use package.

A versatile multi-modal chat application that enables users to develop custom agents, create images, leverage visual recognition, and engage in voice interactions. It integrates seamlessly with local LLMs and commercial models like OpenAI, Gemini, Perplexity, and Claude, and allows to converse with uploaded documents and websites.

[USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

An AI of Dan Abramov using RAG and GenAI.

The library for character-driven AI experiences.

Streamlit demo of Scrapegraph-ai for GPT4-hackaton

RAG using Llama3, Langchain and ChromaDB

A curated list of open source repositories for AI Engineers

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。）

《动手学SpringAI》包含SSE流/Agent智能体/知识图谱RAG/FunctionCall/历史消息/图片生成/图片理解/Embedding/VectorDatabase/RAG

This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.

This repo contains the code and data for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks"

GenAI & LLM usecases and applications

GPT automatically organizes your browser bookmarks

AI 应用示例合集

ScrapeGPT is a RAG-based Telegram bot designed to scrape and analyze websites, then answer questions based on the scraped content. The bot utilizes Retrieval Augmented Generation and webscraping to return natural language answers to the user's queries.

RAG(Retrieval-Augmented Generation) for Evolving Data

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.

Enhancing Translation with RAG-Powered Large Language Models

Ollama SDK for .NET

RetroChat is a powerful command-line interface for interacting with various AI language models. It provides a seamless experience for engaging with different chat providers while offering robust features for managing and customizing your conversations. The code in this repo is 100% AI generated. Nothing has been written by a human.

A local LLM chatbot with RAG for PDF input files

This repo aims to help developers to get into the genAI topic quicker by automating AI Core and HANA Vector Engine provisioning and configuration with Terraform Provider for SAP BTP.

A Comprehensive Benchmark for Code Information Retrieval.

linkedin-jobs-RAG