A modular graph-based Retrieval-Augmented Generation (RAG) system
$ npx skills add microsoft/graphragAlternatives
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Structured data extraction and instruction calling with ML, LLM and Vision LLM
A modular graph-based Retrieval-Augmented Generation (RAG) system
$ npx skills add microsoft/graphragopen-source agentic AI data assistant for the next generation of AI + Data products.
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$ npx skills add getzep/graphitiAn open-source RAG-based tool for chatting with your documents.
$ npx skills add Cinnamon/kotaemon[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
$ npx skills add StarTrail-org/LEANN[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
$ npx skills add yichuan-w/LEANNGive 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.
$ npx skills add Canner/WrenAIHigh accuracy RAG for answering questions from scientific documents with citations
$ npx skills add Future-House/paper-qaAutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
$ npx skills add Marker-Inc-Korea/AutoRAG🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:https://datawhalechina.github.io/all-in-rag/
$ npx skills add datawhalechina/all-in-ragCurated list of the best truly open-source AI projects, models, tools, and infrastructure.
$ npx skills add alvinreal/awesome-opensource-aiHow to choose
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 Sparrow if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.