This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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Language AI Engineering Lab, a place where you can deeply understand and build modern Language AI systems, from fundamentals to production.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
$ npx skills add NirDiamant/RAG_TechniquesOpen-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
$ npx skills add Tencent/WeKnora21 Lessons, Get Started Building with Generative AI
$ npx skills add microsoft/generative-ai-for-beginners[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
$ npx skills add HKUDS/LightRAG📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
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$ npx skills add 666ghj/MiroFishStop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
$ npx skills add Mintplex-Labs/anything-llmA privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV
$ npx skills add logseq/logseqBuild your personal knowledge base with Trilium Notes
$ npx skills add TriliumNext/TriliumQdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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$ npx skills add Egonex-AI/Understand-AnythingHow 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 Language AI Engineering Lab if it already passes your workflow test and repository review.
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