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EP.260 Vector Search Secrets Revealed! - AI-Powered Image Search with MongoDB - Live Demo
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المحتوى المقدم من MongoDB. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة MongoDB أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
Ever wondered how companies like Amazon or Pinterest deliver lightning-fast image search? Dive into this episode of MongoDB Podcast Live with Shane McAllister and Nenad, a MongoDB Champion, as they unravel the magic of semantic image search powered by MongoDB Atlas Vector Search!
🔍 What You’ll Learn:
Why semantic search is a game-changer for AI-driven applications (spoiler: it’s all about meaning, not just keywords!).
How to transform images into vectors (embeddings) and store them alongside your data—no clunky ETL pipelines required!
A live demo showcasing real-time image search on a 40,000+ product dataset (spoiler #2: it’s blazing fast and shockingly simple to build!).
Pro tips on choosing embedding models, optimizing indexes, and avoiding common pitfalls.
Why MongoDB’s unified data model crushes traditional databases for AI/ML workloads.
👥 For Developers & Data Engineers:
Whether you’re a JavaScript, AI enthusiast, or just tired of JOINs, this episode is your roadmap to building smarter, faster apps. Plus, learn why companies like Toyota and Verizon trust MongoDB for mission-critical AI workloads.
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