Github Patchy631 Ai Engineering Hub In Depth Tutorials On Llms Rags

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Crash Issue 104 Patchy631 Ai Engineering Hub Github The ai engineering hub is a comprehensive collection of production ready ai engineering implementations and educational resources covering retrieval augmented generation (rag) systems, multi agent workflows, model evaluation frameworks, and specialized ai applications. It's a hands on, code first collection focused on turning concepts like llms, rag, and ai agents into tangible projects you can run, tweak, and learn from directly. Github patchy631 ai engineering hub in depth tutorials on llms, rags and real world ai agent applications. patchy631 ai engineering hub. 29,927stars homepage view on github forks 4,827 open issues 30 watchers 381 size 262.5 mb jupyter notebookmit license agentsaillmsmachine learningmcprag created: oct 21, 2024 updated: feb 18, 2026 last push: jan 30, 2026. It includes learning materials, real world cases, and sample code, such as tutorials on rag, ai applications from text to multimodal, and the implementation of automated workflows. both beginners and experienced ai application developers can benefit from it. Explore the ai engineering hub for in depth tutorials on llms, rag, and real world ai agent applications by patchy631, trending on github.