Awesome-LLM-RAG This repo aims to record advanced papers of Retrieval Agumented Generation (RAG) in LLMs. We strongly encourage the researchers that want to promote their fantastic work to the LLM RAG to make pull request to update their paper's information!
Awesome LLM RAG Application is a curated list of application resources based on LLM with RAG pattern.综述论文:Retrieval-Augmented Generation for Large Language Models: A Survey 面向大语言模型的检索增强生成技术:调查 Github repo 大语言模型的检索增强生成 (RAG) 方法 Advanced RAG Techniques: an ...
融合了 Backend as Service 和 LLMOps 的理念,涵盖了构建生成式 AI 原生应用所需的核心技术栈,包括一个内置 RAG 引擎。使用 Dify,你可以基于任何模型自部署类似 Assistants API 和 GPTs 的能力。 Verba 这是向量数据库weaviate开源的一款RAG应用,旨在为开箱即用的检索增强生成 (RAG) 提供端到端、简化且用户...
Awesome-LLM-with-RAG Enhancing Large Language Models with Retrieval Augmented Generation. Paper Unlimiformer: Long-Range Transformers with Unlimited Length Input. [2023.10.30] [Arxiv] Active Retrieval Augmented Generation. [2023.10.22] [Arxiv] Understanding Retrieval Augmentation for Long-Form Questi...
🌟 Awesome LLM Apps A curated collection of awesome LLM apps built with RAG and AI agents. This repository features LLM apps that use models from OpenAI, Anthropic, Google, and even open-source models like LLaMA that you can run locally on your computer. 🤔 Why Awesome LLM Apps? 💡 ...
the resources about the application based on LLM with RAG pattern - Delete 大语言模型提示词工程原理及最佳实践-郑昊pdf.pdf · kekewind/Awesome-LLM-RAG-Application@dbc8932
添加RAG框架 RAGFlow的链接和介绍。 添加【RAG框架】RAGFlow 29ae1e0 lizhe2004 merged commit e80e9d5 into lizhe2004:main Apr 10, 2024 Owner lizhe2004 commented Apr 10, 2024 thanks @xinzhuang for your pr! Sign up for free to join this conversation on GitHub. Already have an account? Si...
Awesome-LLM-RAG-Application the resources about the application based on LLM with RAG pattern 综述 介绍 比较 应用参考 Kimi Chat 支持发送网页链接和上传文件进行回答 GPTs 支持上传文档进行类似RAG应用 百川知识库 1.新建知识库后得到知识库 ID;
GraphRAG 是一种基于图的检索增强方法,由微软开发并开源。 它通过结合LLM和图机器学习的技术,从非结构化的文本中提取结构化的数据,构建知识图谱,以支持问答、摘要等多种应用场景。 kotaemon 一个开源的、基于 RAG (Retrieval-Augmented Generation) 的文档问答工具,支持多用户登录、本地和云端 LLM 及 Embedding 模...
Awesome-LLM-RAG-Application the resources about the application based on LLM with RAG pattern 综述 介绍 比较 应用参考 Kimi Chat 支持发送网页链接和上传文件进行回答 GPTs 支持上传文档进行类似RAG应用 百川知识库 1.新建知识库后得到知识库 ID;