We're trying something different this week: a full post-show breakdown of every episode in the latest season of Black Mirror! Ari Romero is joined by Tudum's Black Mirror expert, Keisha Hatchett, to give you all the nuance, the insider commentary, and the details you might have missed in this incredible new season. Plus commentary from creator & showrunner Charlie Brooker! SPOILER ALERT: We're talking about the new season in detail and revealing key plot points. If you haven't watched yet, and you don't want to know what happens, turn back now! You can watch all seven seasons of Black Mirror now in your personalized virtual theater . Follow Netflix Podcasts and read more about Black Mirror on Tudum.com .…
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EP. 239 Revolutionizing Knowledge Management with MongoDB: Saravana Kumar
Manage episode 447355897 series 3604990
内容由MongoDB提供。所有播客内容（包括剧集、图形和播客描述）均由 MongoDB 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
In this episode, we sit down with Saravana Kumar, to explore how their platform is revolutionizing knowledge management using MongoDB. Saravana shares the journey of Document360, the challenges they faced, and how MongoDB's vector search is a game-changer for their product. Tune in to learn about the technology stack behind Document360, the impact of AI, and real-world use cases that highlight the platform's success.
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分享Manage episode 447355897 series 3604990
内容由MongoDB提供。所有播客内容（包括剧集、图形和播客描述）均由 MongoDB 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
In this episode, we sit down with Saravana Kumar, to explore how their platform is revolutionizing knowledge management using MongoDB. Saravana shares the journey of Document360, the challenges they faced, and how MongoDB's vector search is a game-changer for their product. Tune in to learn about the technology stack behind Document360, the impact of AI, and real-world use cases that highlight the platform's success.
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**(Note: Spotify listeners can also watch the screen sharing video accompanying the audio. Other podcast platforms offer the audio-only version.)** Struggling with millions of unstructured documents, legacy records, or scattered data formats? Discover how AI, Large Language Models (LLMs), and MongoDB are revolutionizing data management in this episode of the MongoDB Podcast.Join host Shane McAllister and the team as they delve into tackling complex data challenges using cutting-edge technology. Learn how MongoDB Atlas Vector Search enables powerful semantic search and Retrieval Augmented Generation (RAG) applications, transforming chaotic information into valuable insights. Explore integrations with popular frameworks like Langchain and Llama Index.Find out how to efficiently process and make sense of your unstructured data, potentially saving significant costs and unlocking new possibilities.Ready to dive deeper?#MongoDB #AI #LLM #LargeLanguageModels #VectorSearch #AtlasVectorSearch #UnstructuredData #Podcast #DataManagement #RAG #SemanticSearch #Langchain #LlamaIndex #Developer #BigData…
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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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