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"

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

The easiest way to use Agentic RAG in any enterprise

TEN Agent is a conversational AI powered by TEN, integrating Gemini 2.0 Multimodal Live API, OpenAI Realtime API, RTC, and more. It offers real-time capabilities to see, hear, and speak, along with advanced tools like weather checks, web search, and RAG.

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

A simple, easy-to-hack GraphRAG implementation

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.

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

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

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

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.

Parsing-free RAG supported by VLMs

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.

A list of top AI agents

Most intuitive unified AI chat interface.

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.

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.

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.

《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.

参考GraphRag使用 Semantic Kernel 来实现的dotnet版本，可以使用NuGet开箱即用集成到项目中

Connect Data Silos with Explainable AI⚡🚀

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