#1
A modular graph-based Retrieval-Augmented Generation (RAG) system
34K starsJun 16, 2026 pushdataPythonRAG
$ npx skills add microsoft/graphragAlternatives
KG RAG alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
KG RAG
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
56
Quality
80
Trust
939
Stars
#2
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
38K starsNov 10, 2025 pushdataPythonRAG
$ npx skills add chatchat-space/Langchain-Chatchat#3
open-source agentic AI data assistant for the next generation of AI + Data products.
19K starsJun 14, 2026 pushdataPythonRAG
$ npx skills add eosphoros-ai/DB-GPT#4
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
59K starsJun 10, 2026 pushdataJupyter NotebookRAG
$ npx skills add pathwaycom/llm-app#5
📚 从零开始构建大模型
31K starsMay 6, 2026 pushdataJupyter NotebookRAG
$ npx skills add datawhalechina/happy-llm#6
Structured data extraction and instruction calling with ML, LLM and Vision LLM
5.2K starsJun 11, 2026 pushdataPythonRAG
$ npx skills add katanaml/sparrow#7
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
22K starsApr 27, 2026 pushdataJupyter NotebookRAG
$ npx skills add AccumulateMore/CV#8
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
3.0K starsJun 9, 2026 pushdataPythonRAG
$ npx skills add swirlai/swirl-search#9
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
13K starsFeb 24, 2026 pushdataJupyter NotebookRAG
$ npx skills add datawhalechina/llm-universe#10
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
6.7K starsMay 31, 2026 pushdataJupyter NotebookRAG
$ npx skills add luhengshiwo/LLMForEverybody#11
A simple, easy-to-hack GraphRAG implementation
3.9K starsJan 27, 2026 pushdataPythonRAG
$ npx skills add gusye1234/nano-graphrag#12
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
4.1K starsMay 29, 2026 pushdataJupyter NotebookRAG
$ npx skills add NVIDIA/GenerativeAIExamples#13
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
3.5K starsJun 10, 2026 pushdataJupyter NotebookRAG
$ npx skills add GiovanniPasq/agentic-rag-for-dummies#14
Dynamiq is an orchestration framework for agentic AI and LLM applications
1.1K starsJun 15, 2026 pushdataPythonRAG
$ npx skills add dynamiq-ai/dynamiq#15
GenAI Cookbook
4.2K starsMay 22, 2026 pushdataJupyter NotebookRAG
$ npx skills add mongodb-developer/GenAI-Showcase#16
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
4.2K starsJun 12, 2026 pushdataJupyter NotebookRAG
$ npx skills add oracle-devrel/oracle-ai-developer-hubHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep KG RAG if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.