[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/LEANNAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
[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/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 StarTrail-org/LEANNRepository for the "Building LLMs for Production" book by Towards AI.
$ npx skills add towardsai/ragbook-notebooks🔍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-ragA modular graph-based Retrieval-Augmented Generation (RAG) system
$ npx skills add microsoft/graphragOpen Source AI Platform - AI Chat with advanced features that works with every LLM
$ npx skills add onyx-dot-app/onyxAn open source, privacy focused alternative to NotebookLM for teams with no data limits. Join our Discord: https://discord.gg/ejRNvftDp9
$ npx skills add MODSetter/SurfSenseThe open source platform for AI-native application development.
$ npx skills add TaskingAI/TaskingAIReady-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.
$ npx skills add pathwaycom/llm-app动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
$ npx skills add datawhalechina/handy-ollamaEverything you need to know to build your own RAG application
$ npx skills add bragai/bRAG-langchainWhat are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
$ npx skills add humanlayer/12-factor-agents📚 从零开始构建大模型
$ npx skills add datawhalechina/happy-llmThe all-in-one RWKV runtime box with embed, RAG, AI agents, and more.
$ npx skills add Ai00-X/ai00_server🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
$ npx skills add chonkie-inc/chonkieCurated 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 RAG Cookbooks 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.