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Google OKF + RAG: The Ultimate AI Agent Architecture

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About Google OKF + RAG: The Ultimate AI Agent Architecture

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Should you build your AI agent's knowledge base using RAG (Vector Databases) or Google's new OKF (Open Knowledge Format)? The truth is, relying purely on RAG shreds your context into chunks and causes confident hallucinations, while OKF is too manual to scale across millions of unstructured documents. The real answer is the Hybrid AI Stack. In this video, Cloud Codes breaks down the exact system architecture you need to wire OKF and RAG together. We explore how to build an intelligent router that sends high-stakes, canonical questions to your curated OKF markdown files, while routing exploratory, long-tail questions to your vector database. We dive deep into the mechanics of Retrieval-Augmented Generation, the limits of cosine-distance similarity, and how an 80/20 split between OKF (Trust & Precision) and RAG (Scale & Reach) creates the ultimate, hallucination-free AI agent. ⏱️ TIMESTAMPS: 00:00 - 00:14: Confident, instant — and wrong.. 00:14 - 00:42: The fix everyone reached for: RAG.. 00:42 - 01:10: Meet the Open Knowledge Format.. 01:10 - 01:21: So which do you bet on?. 01:21 - 02:03: Wrong question. The answer is both.. 02:03 - 03:37: How RAG actually works.. 03:38 - 05:15: OKF is just markdown files.. 05:15 - 08:07: Put a router in front.. 08:07 - 09:50: Use both — almost always.. #googleokf #rag #aiagents #vectordatabase #systemdesign #cloudcodes #softwareengineering #machinelearning 👇 SUBSCRIBE & WATCH NEXT Subscribe for a new systems deep-dive every week: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w?sub_confirmation=1 📱 CONNECT WITH US Twitter/X: x.com/cloud_codes Join our developer community: discord.gg/HVnH9SY48 User Queries: google okf vs rag open knowledge format vs vector database how to fix rag hallucinations hybrid rag architecture explained how to combine rag and okf what is google okf open knowledge format rag limitations and solutions ai agent knowledge base system design best vector database alternatives how to build reliable llm agents

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