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EP.260 Vector Search Secrets Revealed! - AI-Powered Image Search with MongoDB - Live Demo
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MongoDB에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 MongoDB 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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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