EP.260 Vector Search Secrets Revealed! - AI-Powered Image Search With MongoDB

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How to get your confidence back 41:05

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When negative feedback shakes your confidence, it can be difficult to get back to feeling like yourself at work. In this episode, Anne and Frances help a struggling listener who has spent years toning herself down in the workplace after being told that she was too assertive — now, she feels that her modest approach is holding her back. Together, they use Anne and Frances’s “trust triangle” framework to explore how empathy, authenticity, and logic can help you rebuild confidence and trust with your colleagues, and share helpful confidence hacks for getting comfy with discomfort. What problems are you dealing with at work? Text or call 234-FIXABLE or email fixable@ted.com to be featured on the show. For the full text transcript, visit ted.com/podcasts/fixable-transcripts Want to help shape TED’s shows going forward? Fill out our survey ! Hosted on Acast. See acast.com/privacy for more information.…

The MongoDB Podcast « »
EP.260 Vector Search Secrets Revealed! - AI-Powered Image Search with MongoDB - Live Demo

לפני שנה 57:33

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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.

272 פרקים

#Tech #MongoDB #Atlas #Bson #Database #Digital #Engineering #Innovation #Realm #Software #Softwaredevelopment #Technology #Podcasting Education #JSON #NoSQL

EP.260 Vector Search Secrets Revealed! - AI-Powered Image Search with MongoDB - Live Demo

The MongoDB Podcast

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published לפני שנה

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MP3•בית הפרקים

🔍 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.

272 פרקים

#Tech #MongoDB #Atlas #Bson #Database #Digital #Engineering #Innovation #Realm #Software #Softwaredevelopment #Technology #Podcasting Education #JSON #NoSQL

כל הפרקים

The MongoDB Podcast

1
EP. 267 Full Stack AI: Building with MongoDB, Deno, and Next.js 1:00:54

לפני 14 ימים1:00:54

1:00:54

Is building the backend for your AI application slowing you down? In this episode of the MongoDB Podcast, host Jesse Hall sits down with Srikar and Jimmy, the creators of Daemo AI, a revolutionary tool designed to eliminate the tedious "plumbing" of backend development. Discover how Daemo AI is building upon deprecated MongoDB features like Realm App Services, creating a more powerful and flexible solution for developers. We dive deep into their tech stack, including Next.js, Deno, and Express , and explore why they chose MongoDB for its speed and flexibility in AI applications. Plus, you'll see a live demo of Daemo's new SDK and CLI , learn how it can generate data migrations and dummy data on the fly , and get a real answer to the big question: Is AI going to take your job? In This Episode, You Will Learn: What Daemo AI is and how it accelerates development. * How to build AI agents and integrate them with frameworks like LangChain. Why MongoDB is the ideal database for rapid-growth startups and AI. The future of developer jobs in the age of AI.…

The MongoDB Podcast

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EP. 266 How MongoDB Scales Atlas & Reduces Cost 43:01

לפני 5 weeks43:01

43:01

🔴 LIVE: How MongoDB Atlas Is Redefining Elasticity for Cost-Optimized PerformanceWelcome to this special episode where we explore the cutting-edge elasticity features in MongoDB Atlas—designed to help organizations optimize costs without sacrificing performance.Whether you're a software engineer, DevOps lead, or IT decision-maker, this conversation will show you how to scale smarter, faster, and more reliably.…

The MongoDB Podcast

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EP. 265 AI for Happier Teams: L10's Real-Time Feedback Revolution 1:16:46

לפני 6 weeks1:16:46

1:16:46

Is waiting months for employee feedback a thing of the past? Dive into the future of work with Shane McAllister and L10 founders, Zyrian Chung and Keith Chan . Discover how their AI-powered platform collects daily insights to transform workplace culture, empower managers, and address issues like silent quitting before they escalate. Learn how real-time feedback and AI can create more engaged and productive teams, and get a peek into the tech (including MongoDB) that makes it possible. Stop guessing, start understanding your team today! TAGs: #EmployeeEngagement, #AIinHR, #WorkplaceCulture, #FutureofWork, #EmployeeFeedback, #RealTimeInsights, #TeamManagement, #Leadership, #HRTechnology, #MongoDB, # L10, #ZyrianChung, #KeithChan, # SilentQuitting, #EmployeeMorale, #TeamProductivity, #PerformanceManagement, #AITools, #EmployeeSurveys, #PeopleAnalytics…

The MongoDB Podcast

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EP. 264 Beyond the Database: Mastering Multi-Cloud Data, AI Automation & Integration (feat. Peter Ngai, SnapLogic) 58:31

לפני 8 weeks58:31

58:31

✨ Heads up! This episode features a demonstration of the SnapLogic UI and its AI Agent Creator towards the end. For the full visual experience, check out the video version on the Spotify app! ✨ (Episode Summary) Tired of tangled data spread across multiple clouds, on-premise systems, and the edge? In this episode, MongoDB's Shane McAllister sits down with Peter Ngai, Principal Architect at SnapLogic, to explore the future of data integration and management in today's complex tech landscape. Dive into the challenges and solutions surrounding modern data architecture , including: Navigating the complexities of multi-cloud and hybrid cloud environments. The secrets to building flexible, resilient data ecosystems that avoid vendor lock-in. Strategies for seamless data integration and connecting disparate applications using low-code/no-code platforms like SnapLogic. Meeting critical data compliance , security, and sovereignty demands (think GDPR, HIPAA, etc.). How AI is revolutionizing data automation and providing faster access to insights (featuring SnapLogic's Agent Creator). The powerful synergy between SnapLogic and MongoDB , leveraging MongoDB both internally and for customer integrations. Real-world applications, from IoT data processing to simplifying enterprise workflows. Whether you're an IT leader, data engineer, business analyst, or simply curious about cloud strategy , iPaaS solutions , AI in business , or simplifying your data stack , Peter offers invaluable insights into making data connectivity a driver, not a barrier, for innovation. - Keywords: Data Integration, Multi-Cloud, Hybrid Cloud, Edge Computing, SnapLogic, MongoDB, AI, Artificial Intelligence, Data Automation, iPaaS, Low-Code, No-Code, Data Architecture, Data Management, Cloud Data, Enterprise Data, API Integration, Data Compliance, Data Sovereignty, Data Security, Business Automation, ETL, ELT, Tech Stack Simplification, Peter Ngai, Shane McAllister.…

The MongoDB Podcast

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EP. 263 Building Agents with Natural Language with guest 1:11:04

לפני 9 weeks1:11:04

1:11:04

**(Note: Spotify listeners can also watch the screen sharing video accompanying the audio. Other podcast platforms offer the audio-only version.)** In this episode of MongoDB Podcast Live, host Shane McAllister is joined by Sachin Hejip from Dataworkz. Sachin will showcase “Dataworkz Agent Builder” which is built with MongoDB Atlas Vector Search, and demonstrate how it can use Natural Language to create Agents and in turn, automate and simplify the creation of Agentic RAG applications. Sachin will demo the MongoDB Leafy Portal Chatbot Agent, which combines operational data with unstructured data for personalised customer experience and support, built using Dataworkz and MongoDB. 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 #Dataworkz #Observability #Developer #BigData #RAG…

The MongoDB Podcast

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EP. 262 Solving Unstructured Data Challenges with AI & Vector Search 56:30

לפני 10 weeks56:30

56:30

**(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…

The MongoDB Podcast

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EP.261 Building Next-Gen AI E-Commerce with Storecraft & MongoDB | Live Code Demo 1:00:22

לפני 12 weeks1:00:22

1:00:22

MongoDB staff developer advocate Jesse Hall teams up with Storecraft creator Tomer Shalev to dissect how this open-source commerce platform leverages MongoDB for scalable, AI-driven workflows. Watch them live-code integrations (vector search, dynamic pricing, email automation) and explore real-world use cases—from custom discount logic to OpenAI-powered product recommendations. Perfect for developers building modular, future-proof commerce solutions.…

The MongoDB Podcast

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EP.260 Vector Search Secrets Revealed! - AI-Powered Image Search with MongoDB - Live Demo 57:33

לפני 13 weeks57:33

57:33

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.…

The MongoDB Podcast

1
EP. 259 AI-Powered Customer Insights: Boosting Lifetime Value with MongoDB & Generative AI 1:02:21

לפני 14 weeks1:02:21

1:02:21

🔥 How can AI transform customer retention and drive revenue growth? In this episode of The MongoDB Podcast , join host Shane McAllister and Samir Agarwal , Chief Product Technology Officer at Agmeta, as they dive into the future of AI-driven customer insights. Discover how Agmeta leverages MongoDB Atlas Vector Search and cutting-edge AI tools to predict churn, personalize customer experiences, and unlock hidden value in customer interactions. 🔹 Key Takeaways: Why traditional customer surveys fail—and how AI extracts real-time insights from calls, chats, and transcripts. The role of sentiment analysis and vector search in identifying high-risk churn candidates. How generative AI creates actionable recommendations to retain customers and boost upsell opportunities. Real-world demo: See AI transform unstructured data into a visual dashboard for instant decision-making. Why MongoDB’s flexibility makes it the go-to database for AI/ML workflows. 🔹 Perfect For: Developers and data engineers building AI-powered customer solutions. Product leaders focused on retention, lifetime value, and reducing churn. Startups exploring AI/ML tools (shoutout to the MongoDB Startup Program !). 👉 Subscribe for more episodes on AI, databases, and scaling tech stacks! TAGS: #AI #CustomerInsights #MongoDB #AtlasVectorSearch #ReduceChurn #GenerativeAI #CustomerLifetimeValue, #SentimentAnalysis #StartupProgram #Agmeta…

The MongoDB Podcast

1
EP. 258 Harnessing AI for Revenue Optimization: The Mops AI Journey with MongoDB 1:07:32

לפני 16 weeks1:07:32

1:07:32

Welcome to MongoDB Podcast with host Shay McAlister! In this engaging episode, we dive into the transformative realm of AI in revenue operations, featuring our special guest, Fabio, Senior Software Development Engineer at MongoDB. Discover how AI is revolutionizing rev ops through Mops AI, a tool born from innovative hackathons. Fabio shares insights on leveraging MongoDB's own tools and advanced technologies like OpenAI and Atlas Vector Search to optimize tedious processes and enhance data utilization. Perfect for developers, AI enthusiasts, and tech innovators, this episode offers deep dives into practical AI applications, internal tool creation, and the future of generative AI in optimizing business processes. Tune in for a compelling look at how AI-powered innovation is shaping the way we handle data and drive revenue!…

The MongoDB Podcast

1
EP. 257 Optimizing MongoDB: Deep Dive into Database Performance, Reliability, and Cost Efficiency with Observability Tools 1:06:07

לפני 17 weeks1:06:07

1:06:07

In this episode of MongoDB TV, join Shane McAllister along with MongoDB experts Sabina Friden and Frank Sun as they explore the powerful observability suite within MongoDB Atlas. Discover how these tools can help you optimize database performance, reduce costs, and ensure reliability for your applications. From customizable alerts and query insights to performance advisors and seamless integrations with enterprise tools like Datadog and Prometheus, this episode covers it all. Whether you're a developer, database administrator, or just getting started with MongoDB, learn how to leverage these observability tools to gain deep insights into your database operations and improve your application's efficiency. Tune in for a live demo showcasing how MongoDB's observability suite can transform your database management experience. Perfect for anyone looking to enhance their MongoDB skills and take their database performance to the next level.…

The MongoDB Podcast

1
EP. 256 Wrapping Up Local London: Key Takeaways and Future Insights from MongoDB 9:29

לפני 26 weeks9:29

9:29

Join us as we conclude our exciting day at Local London! In this final segment, we reflect on the highlights of the event, including key announcements, insightful discussions, and the innovative features showcased throughout the day. Our hosts share their thoughts on the importance of developer productivity, the impact of AI on various industries, and the future of MongoDB's offerings. Whether you missed the event or want to recap the key moments, this episode is packed with valuable insights and a look ahead at what's next for MongoDB.…

The MongoDB Podcast

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EP. 255 Transforming the Insurance Industry with MongoDB: Insights on AI and Data Modernization 10:46

לפני 26 weeks10:46

10:46

In this episode, we sit down with industry experts to discuss how MongoDB is revolutionizing the insurance sector through data modernization and AI integration. Discover how MongoDB's document model simplifies data processing, enhances developer productivity, and reduces friction in application development. Learn about the exciting advancements in vector search and unstructured data handling that are set to transform customer experiences in insurance. Whether you're in the industry or just curious about the future of data management, this episode is packed with valuable insights and practical applications.…

The MongoDB Podcast

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EP. 254 Enhancing Developer Experience with Atlas CLI and Docker Support 11:24

לפני 27 weeks11:24

11:24

In this episode, we explore the exciting advancements in MongoDB's Atlas CLI and Docker support with a leading expert in developer tools. Discover how these features streamline local development, enabling faster feedback loops and efficient testing environments. Learn about the integration with existing Docker tools, the benefits of running MongoDB locally, and the future enhancements on the horizon. Whether you're a developer looking to optimize your workflow or just curious about the latest in MongoDB, this episode is packed with valuable insights to elevate your development experience.…

The MongoDB Podcast

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EP. 253 Understanding Queryable Encryption: Enhancing Data Security in MongoDB 10:56

לפני 27 weeks10:56

10:56

In this episode, we dive into the world of queryable encryption with our security specialist. Discover how this innovative feature protects sensitive data while allowing for secure querying without exposing any information. Learn about its applications in industries like banking, healthcare, and government, and how it ensures that even in the event of a data breach, your crown jewels remain safe. We also discuss the recent advancements, including range queries and future enhancements like full-text search. Whether you're a developer or a security professional, this episode provides valuable insights into securing your data with MongoDB.…

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The MongoDB Podcast « » EP.260 Vector Search Secrets Revealed! - AI-Powered Image Search with MongoDB - Live Demo

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EP.260 Vector Search Secrets Revealed! - AI-Powered Image Search with MongoDB - Live Demo