This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

TEN Agent is a conversational voice AI agent powered by TEN, integrating Deepseek, Gemini, OpenAI, RTC, and hardware like ESP32. It enables realtime AI capabilities like seeing, hearing, and speaking, and is fully compatible with platforms like Dify and Coze.

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

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

AI Agent Builder in Python

A simple, easy-to-hack GraphRAG implementation

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

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.

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.

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

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

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

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.

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

The simplest and lowest-cost AI integration solution. If you like this project, please give it a Star~ | 最简单、最低成本的AI接入方案。喜欢本项目的话点个 Star 吧~

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

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, query, and agentic LLM applications in Rust

Deploy agentic reasoning in a scalable and reliable platform in minutes. Become an on demand subject matter expert by loading portable cognitive cores for the most complex knowledge work. 🧠

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

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

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

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。

Turn any app into agent knowledge

基于大模型 RAG 知识库的知识图谱问答系统。Llamaindex + VueJS + Flask + Neo4j。大模型适配 OpenAI、国内主流大模型平台的模型调用、本地 vllm 部署。支持推理模型DeepSeek-R1、联网检索。

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)。

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。）

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

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 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。

Open source alternative to Perplexity AI with ability to run locally

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

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 LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。

《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

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.

A curated list of open source repositories for AI Engineers

Hallucinations (Confabulations) Document-Based Benchmark for RAG

Local LLM Powered Recursive Search & Smart Knowledge Explorer

GenAI & LLM usecases and applications

GPT automatically organizes your browser bookmarks

TypeScript Agentic AI Library specialized for LLM Function Calling enhanced by compiler skills.

learning resource of langgraph for dummy

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.

Nosia is a platform that allows you to run an AI model on your own data. It is designed to be easy to install and use.

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.

High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡

A Comprehensive Benchmark for Code Information Retrieval.

A repository that showcases the native VECTOR type in Azure SQL Database to perform embeddings and RAG with Azure OpenAI.

Dabarqus is incredibly fast RAG that runs everywhere.

Hybrid Search with Postgres and Ecto

LangChain 을 더 쉽게 구현하기 위한 유틸 함수, 클래스를 만들어서 패키지로 배포하였습니다.

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

基于 Langchain，快速集成GLM-4 AllTools 功能的插件

Graph Foundation Model for Retrieval Augmented Generation

AI agent to search Google Flights data

Enable AI to quickly retrieve content, simply!

An open source implementation of a bot that can respond to user questions from Slack, Discord by utilizing Vectara RAG

Fully Configurable RAG Pipeline for Bengali Language RAG Applications. Supports both Local and Huggingface Models, Built with Langchain.

This application uses LLMs like DeepSeek, GPT-4o, Claude, Gemini2 or Llama, Mixtral (locally) in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of LLMs and access to source documen

Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python

Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.

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.

A Personal Assistant leveraging Retrieval-Augmented Generation (RAG) and the LLaMA-3.1-8B-Instant Large Language Model (LLM). This tool is designed to revolutionize PDF document analysis tasks by combining machine learning with retrieval-based systems.

✨ 大语言模型 (LLM) 的自然语言数据库查询系统 (RAG) Natural Language Database Query System (RAG) based on LLM✨ (with README in English) 🚩 通过自然语言提问，使用大语言模型智能解析数据库结构，对数据进行智能多表结构化查询和统计计算，根据查询结果智能绘制多种图表。 Pywebio 交互式前端网页，不必须 openai api，支持 qwen glm 等多种模型，100%纯 Python 代码。

Let's RAG it RAW without fancy frameworks

Building blocks for rapid development of GenAI applications

Sales AI agent that talks with your customers, recommend products, book consultations, and process Stripe payments

Implementation of Corrective RAG using LangChain and LangGraph.

Secure, locally-run Retrieval-Augmented Generation system for document-based question-answering, utilizing Llama 3, Mistral, and Gemini models with a user-friendly Streamlit interface.

Agents and RAG workflows with little to no code

8 Lessons, Get Started Building with Generative AI and Gemini API

QiDiHui: RAG, appbuilder, ErnieBot, multi-model, 十万个为什么

💁 Example code for a blog post series about using a RAG system on a local codebase.

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

An up-to-date curated list of Retrieval-Augmented Generation (RAG) for Large Language Models (LLMs).

Needle simplifies building RAG pipelines.

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

Retrieval-Augmented Generation on PDF for Free, Integrated with Memory to recall previous interactions, it operates as a sophisticated lang-chain application.

Library for evaluating RAG using Nuclia's models

Realign is a testing and simulation framework for AI applications.

AI Bank Statement Document Automation By LLM model and Personal Finanical Analysis

GraphRag vs Embeddings

This project is an automated research and summarization tool that allows users to conduct research on a specific question and summarize the information found and present it as a blog post.

A minimalist Go implementation of Microsoft's GraphRAG

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

AI Search Engine in 70 lines

Discover advanced AI techniques in my repository combining Multi-Hop Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG) using DSPy and Indexify. Enhance complex problem-solving with multi-step reasoning and external knowledge integration. Perfect for AI enthusiasts and researchers.

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.

🚀 this project aims to develop an app using an existing open-source LLM with data collected for domain-specific Jenkins knowledge that can be fine-tuned locally and set up with a proper UI for the user to interact with.

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

A single file, customizable Python CLI tool for interacting with local Language Models, ensuring data privacy while providing conversation memory and extensibility through plugins and efficient Retrieval-Augmented Generation capabilities with ChromaDB integration. Also compatible with OpenAI API.