RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

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.

Private & local AI personal knowledge management app.

The open source platform for AI-native application development.

Large Action Model framework to develop AI Web Agents

The easiest way to use Agentic RAG in any enterprise

Supabase for RAG - Build and scale production-ready user facing AI apps

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

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🎙️

Wren AI makes your database RAG-ready. Implement Text-to-SQL more accurately and securely.

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

Making Agents Reliable In Production.

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

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".

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.

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

RAG Search API

An open-source, high-performance SQL vector database built on ClickHouse.

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

Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个

Fast lexical search library implementing BM25 in Python using Scipy (on average 2x faster than Elasticsearch in single-threaded setting)

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

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

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.

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.

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

appbuilder-sdk, 千帆AppBuilder-SDK帮助开发者灵活、快速的搭建AI原生应用

Video Search and Streaming Agent 🕵️‍♂️

Production-Grade Evaluation for LLM-Powered Applications

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT,Cross Encoder

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

🤖 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。

The Lightning Library for LLM Applications.

Bring AI models closer to your PostgreSQL data

Super performant RAG pipelines for AI apps. Summarization, Retrieve/Rerank and Code Interpreters in one simple API.

Palico provides a set of integrated tools to help you rapidly iterate through building, experimenting, and deploying your LLM Application

A lightning-fast workflow builder, it supports multimodal interaction, highly customizable extensions, and is intuitive to use even without any coding knowledge.

A list of top AI agents

Build your own ChatPDF and run them locally

Seamless Bug Detection Throughout Your Development Cycle

An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.

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

The Open Assistant API is a ready-to-use, open-source, self-hosted agent/gpts orchestration creation framework, supporting customized extensions for LLM, RAG, function call, and tools capabilities. It also supports seamless integration with the openai/langchain sdk.

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.

Your new mate on Discord and Slack. Powered by AI.

LLM for Long Text Summary (Comprehensive Bulleted Notes) : Walkthrough and Model Rankings

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.

Chat with multiple PDFs locally

Awesome LLM-related papers and repos on very comprehensive topics.

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

Build, evaluate and observe LLM apps

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

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.

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

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

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚

An extension for oobabooga/text-generation-webui that enables the LLM to search the web using DuckDuckGo

Easyest and lazyest way for building multi-agent LLMs applications.

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

AutoGen Visualized - Build Multi-Agent Apps with Drag-and-Drop Simplicity.

GenAI Cookbook

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.

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

Pebblo enables developers to safely load data and promote their Gen AI app to deployment

A toolkit to create optimal Production-ready RAG setup for your data

https://TiDB.AI is a knowledge graph based RAG(Graph RAG) and conversational knowledge base tool built with TiDB Serverless Vector Storage.

Open source alternative to Perplexity AI with ability to run locally

Knowledge graph construction and RAG demo using Diffbot and Neo4j

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.

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

An AI of Dan Abramov using RAG and GenAI.

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

Evaluation tools for Retrieval-augmented Generation (RAG) methods.

The library for character-driven AI experiences.

Code for the streamlit demo of Scrapegraph-ai for GPT4-hackaton

🧑‍🚀 全世界最好的中文LLM资料总结

Bringing Generative AI to the way the Civil Service works

RAG(Retrieval-Augmented Generation) for Evolving Data

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

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 open source repositories for AI Engineers

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

Firebase for AI Agents: Open-source backend platform that puts powerful generative models at the core of your database. With managed memory and RAG capabilities, developers can easily build AI agents, enhance their apps with generative tables, and create magical UI experiences.

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.

一种利用Langchain框架和本地向量库实现的对话式BI，它的目标是帮助用户寻找、理解数据知识，并能够分析数据、洞察结果，通过自然语言对话，降低数据分析的门槛。

Local llamaindex RAG to assist researchers quickly navigate research papers

Enhancing Translation with RAG-Powered Large Language Models

linkedin-jobs-RAG

A Comprehensive Benchmark for Code Information Retrieval.

A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.

Documentation of AnythingLLM by Mintplex Labs Inc.

Opinionated knowledge extraction and semantic retrieval for Gen AI applications.

GPT automatically organizes your browser bookmarks

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.

Neo4j GenAI for Python