all-in-rag vs awesome-llm-apps

A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.

all-in-ragawesome-llm-apps
Tagline大模型应用开发实战一:RAG技术全栈指南100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
Stars9.3k117k
Forks4.6k17k
Open issues176
LanguagePythonPython
License-Apache-2.0
Last pushedJun 5, 2026Jun 15, 2026
CategoriesData & Retrieval, LLM FrameworksAI Agents, LLM Frameworks

all-in-rag

一个专注于检索增强生成 (RAG) 技术的全面资源,旨在帮助开发者从理论到实践地理解和构建 RAG 应用。

Python

awesome-llm-apps

A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.

Python