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Journey 3: Optimize Your Vector Index for Scale

Microsoft Developer
589K subscribers
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2K views 1 month ago
📌 Github repo: https://aka.ms/rag-time Join Pamela Fox and Mike Carter as they explore cutting-edge techniques to optimize storage, scale your vector index, and dive into advanced methods like quantization, Matryoshka learning, and retrieval efficiency. Get expert insights from Pablo Castro, CVP & Distinguished Engineer of Azure AI Search, and David Smith, Principal Developer Advocate, as they break down how these optimization strategies are transforming enterprise AI applications and driving real-world impact. And to bring it all together, Nitya Narasimhan captures the session’s key takeaways in a creative doodle summary, making complex ideas easy to remember! Chapters: 00:00 Introduction 00:05 Welcome to RAG Time! 00:32 Interview: Real-world impact of optimization techniques in enterprise AI 15:33 Tech Talk and Demonstration 32:00 Doodle Summary 🔗 Learn more: https://aka.ms/rag-time ...more
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Journey 3: Optimize Your Vector Index for Scale
📌 Github repo: https://aka.ms/rag-time Join Pamela Fox and Mike Carter as they explore cutting-edge techniques to optimize storage, scale your vector index, and dive into advanced methods like quantization, Matryoshka learning, and retrieval efficiency. Get expert insights from Pablo Castro, CVP & Distinguished Engineer of Azure AI Search, and David Smith, Principal Developer Advocate, as they break down how these optimization strategies are transforming enterprise AI applications and driving real-world impact. And to bring it all together, Nitya Narasimhan captures the session’s key takeaways in a creative doodle summary, making complex ideas easy to remember! Chapters: 00:00 Introduction 00:05 Welcome to RAG Time! 00:32 Interview: Real-world impact of optimization techniques in enterprise AI 15:33 Tech Talk and Demonstration 32:00 Doodle Summary 🔗 Learn more: https://aka.ms/rag-time

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Microsoft Developer

589K subscribers