#1
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
36K starsJun 11, 2026 pushdataPythonRAG
$ npx skills add HKUDS/LightRAGAlternatives
GenerativeAIExamples alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
100
Quality
100
Trust
4.1K
Stars
#2
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#3
📚 从零开始构建大模型
31K starsMay 6, 2026 pushdataJupyter NotebookRAG
$ npx skills add datawhalechina/happy-llm#4
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
28K starsJun 11, 2026 pushdataJupyter NotebookRAG
$ npx skills add NirDiamant/RAG_Techniques#5
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
2.5K starsJun 2, 2026 pushdataRAGClaude Code
$ npx skills add DEEP-PolyU/Awesome-GraphRAG#6
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#7
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
59K starsJun 11, 2026 pushdataPythonRAG
$ npx skills add datawhalechina/hello-agents#8
LlamaIndex is the leading document agent and OCR platform
50K starsJun 12, 2026 pushdataPythonRAG
$ npx skills add run-llama/llama_index#9
A modular graph-based Retrieval-Augmented Generation (RAG) system
34K starsJun 12, 2026 pushdataPythonRAG
$ npx skills add microsoft/graphrag#10
Open Source AI Platform - AI Chat with advanced features that works with every LLM
30K starsJun 13, 2026 pushdataPythonRAG
$ npx skills add onyx-dot-app/onyx#11
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
26K starsJun 12, 2026 pushdataMDXRAG
$ npx skills add deepset-ai/haystack#12
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
22K starsJun 13, 2026 pushdataTypeScriptRAG
$ npx skills add promptfoo/promptfoo#13
open-source agentic AI data assistant for the next generation of AI + Data products.
19K starsJun 8, 2026 pushdataPythonRAG
$ npx skills add eosphoros-ai/DB-GPT#14
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
16K starsMay 27, 2026 pushdataRustRAG
$ npx skills add memvid/memvid#15
Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.
16K starsJun 12, 2026 pushdataPythonRAG
$ npx skills add Canner/WrenAI#16
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
14K starsMay 1, 2026 pushdataJavaScriptRAG
$ npx skills add ConardLi/easy-datasetHow 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 GenerativeAIExamples 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.