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.

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

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

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

A simple, easy-to-hack GraphRAG implementation

TEN Agent is the world’s first real-time multimodal agent integrated with the OpenAI Realtime API, RTC, and features weather checks, web search, vision, and RAG capabilities.

The Open Source Memory Layer For Autonomous Agents

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.

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

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.

Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure

🤖 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。

GenAI Cookbook

Train Models Contrastively in Pytorch

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.

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

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

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.

Dynamiq is an orchestration framework for agentic AI and LLM applications

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