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Video
PydanticAI and The Future of AI Agents
✅ Try MongoDB 8.0 → https://mdb.link/2HPQKIGwQV0 ✅ Sign-up for a free cluster → https://mdb.link/2HPQKIGwQV0-free ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - Discover how to implement an AI Agent using one of the latest frameworks PydanticAI. In this session, we will explore how to leverage Pydantic AI to implement an AI Agent, with Agentic RAG capabilities and access to the internet to handle queries. We will also explore what the future of AI Agents and Agentic Systems looks like in 2025 and beyond.
Jan 08, 2025
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How AI is Changing RevOps, a Story of MopsAI
✅ Try MongoDB 8.0 → https://mdb.link/p2YpbOrZy80 ✅ Sign-up for a free cluster → https://mdb.link/p2YpbOrZy80-register ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - Based on MongoDB's own experience in leveraging AI to streamline RevOps processes, we believe that by integrating Atlas vector search into tools, developers can significantly enhance their workflows and drive innovation. By adopting AI skills and understanding the potential of large language models, developers can create more intelligent and efficient solutions for the future of marketing and sales. Join us as Shane McAllister talks to Fabio Falavinha, Senior Software Development Engineer at MongoDB, to learn more about how Atlas Vector Search can help.
Jan 06, 2025
Video
What does Aperol Spritz have to do with MongoDB??
Let's find the closest Aperol spritz to you with MongoDB geospatial queries and Atlas Vector Search.
Dec 12, 2024
Video
❓PostgreSQL vs. MongoDB for GenAI
Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads.
Dec 04, 2024
Video
PostgreSQL vs. MongoDB: Which Is Better for GenAI?
✅ Github - https://mdb.link/_zg90Rb9S2M - Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads. In this video, we compare PostgreSQL and MongoDB to see which handles Generative AI (GenAI) workloads better. We look at their data models, storage engines, and how they manage large, complex data typical in GenAI applications. Through benchmark tests, we show their efficiency in processing large documents and multi-attribute data, helping you choose the right database for your AI projects.
Dec 04, 2024
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Insights on Vector Search and Quantization for Developers and AI Enthusiasts
✅ Try MongoDB 8.0 → https://mdb.link/Nu70pFr88Cc-8.0 ✅ Sign-up for a free cluster → https://mdb.link/Nu70pFr88Cc-try - In this episode of the MongoDB Podcast, we dive deep into the exciting advancements in vector search technology. Join us as we discuss the recent launch of quantization capabilities and how they can significantly reduce costs while enhancing performance. Discover the implications for developers and customers alike, and learn about the future of AI integration within MongoDB. Whether you're a seasoned developer or just starting out, this episode is packed with valuable insights to help you leverage the benefits of vector search in your applications.
Dec 02, 2024
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Unlocking the Power of Vector Search: Transforming Data into Insights
✅ Try MongoDB 8.0 → https://mdb.link/MsbuUTw0ciI ✅ Sign-up for a free cluster → https://mdb.link/MsbuUTw0ciI-register ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe - Join us for an engaging conversation about the transformative potential of vector search in data management! In this video, we delve into the innovative features of Superlinked, a platform that simplifies the integration of machine learning into various applications. Discover: The importance of vector search in utilizing unstructured data effectively. Practical applications in fields like e-commerce and finance. How the collaboration between Superlinked and MongoDB enhances data querying and personalized recommendations. Strategies for managing complex data without needing extensive machine learning expertise. We’ll explore the future of machine learning infrastructure and how you can leverage it for your projects.
Nov 04, 2024
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Sip, Swig, and Search with Playwright, OpenAI and MongoDB Atlas Search
✅ Atlas Search → https://mdb.link/DzDnm_cB-IAsearch ✅ Playwright → https://playwright.dev/ ✅ OpenAI's Structured Outputs → https://openai.com/index/introducing-structured-outputs-in-the-api/ ✅ MongoDB Developer Forum → https://mdb.link/DzDnm_cB-IA-forum - Join Developer Advocate Anaiya Raisinghani as she takes you through her tutorial finding the best fall drinks from Utah's most famous "dirty" soda chain, Swig! We will be using Playwright, OpenAI's Structured Outputs and MongoDB's Atlas Search to accomplish this goal.
Oct 28, 2024
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The Future of MongoDB: Performance, Security, and Scalability for Developers
✅ Try MongoDB 8.0 → https://www.mongodb.com/products/updates/version-release ✅ Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe - In this episode of the MongoDB Podcast, Matt Asay sits down with Peder Ulander, Chief Marketing Officer at MongoDB, during MongoDB's .local London event. Peder shares insights on the latest developments in MongoDB, focusing on performance, scalability, and the platform's relevance to developers. They discuss how MongoDB has evolved beyond a niche NoSQL database to become a versatile platform capable of supporting complex, cloud-scale applications across various industries. Peder also highlights the simplicity of getting started with MongoDB, the role of AI in modernizing legacy apps, and how the data architecture landscape is shifting towards distributed systems.
Oct 21, 2024
Video
Aperol Spritz Summer With MongoDB Geospatial Queries & Vector Search
✅ Article link - https://mdb.link/zROF4pFiIEM-article ✅ MongoDB Atlas Vector Search - https://mdb.link/zROF4pFiIEM-atlas ✅ MongoDB Geospatial Queries - https://mdb.link/zROF4pFiIEM-queries ✅ Google Places API Documentation - https://developers.google.com/maps/documentation/places/web-service/search-nearby - In this tutorial, find the closest Aperol spritz to you with MongoDB geospatial queries and Atlas Vector Search.
Sep 26, 2024