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Tutorial

AI-Powered Playlist Generator: Crafting Custom Vibes With Deeplearning4j and MongoDB

Create custom playlists with the AI-powered Playlist Generator tutorial, using Deeplearning4j and MongoDB Atlas Vector Search to turn any unique vibe—like 'midwestern emo puppy love'—into the perfect song collection. This guide walks through embedding song lyrics, leveraging Java-based deep learning for semantic understanding, and querying MongoDB to return tunes that match your playlist’s essence. Dive in for a detailed, hands-on experience with Java, GloVe embeddings, MongoDB, and vector search integration to simplify your playlist creation with AI.
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JavaAI

Oct 25, 2024
Tim Kelly
Video

Sip, Swig, and Search with Playwright, OpenAI and MongoDB Atlas

✅ Article link → https://mdb.link/i_X2Wof9zwk ✅ Google Colab link → https://github.com/mongodb-developer/GenAI-Showcase/blob/main/notebooks/mongodb-specific/SwigMenu_Playwright_OpenAI_MongoDB.ipynb - Join this super fun livestream where Developer Advocate, Anaiya Raisinghani, goes through her recent tutorial where she scrapes Utah's most famous "dirty" soda website and uses AI to figure out which drinks are the most appropriate for fall. Follow along for all things Python, MongoDB, AI, and of course, soda. Leave comments and questions in the chat and Anaiya will do her best to answer them! - RESOURCES: MongoDB Atlas Search: https://openai.com/index/introducing-structured-outputs-in-the-api/" target="_blank" rel="noreferrer">https://openai.com/index/introducing-structured-outputs-in-the-api/ Web Scraping: https://oxylabs.io/blog/playwright-web-scraping https://www.lambdatest.com/blog/playwright-for-web-scraping/ Query selector with Playwright: https://playwright.dev/python/docs/api/class-page#pagequery\_selectorselector OpenAI Structured Outputs: https://openai.com/index/introducing-structured-outputs-in-the-api/" target="_blank" rel="noreferrer">https://openai.com/index/introducing-structured-outputs-in-the-api/
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Play Button

Oct 25, 2024
Video

MongoDB 8.0!!

MongoDB 8.0 just released and it's a game changer! You need to upgrade today!!
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Play Button

Oct 24, 2024
Tutorial

Building a Semantic Search Service With Spring AI and MongoDB Atlas

Learn how to get started with Spring AI and the MongoDB vector store integration. Use vector search to semantically search your data, all in the Spring ecosystem.
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Oct 24, 2024
Tim Kelly
Video

Mastering Spring Data MongoDB for Better Developer Productivity

✅ Try MongoDB 8.0 → https://mdb.link/w4lvxI47QnU-try ✅ Sign-up for a free cluster → https://mdb.link/w4lvxI47QnU-free ✅ GitHub Repository → https://github.com/spring-projects/spring-data-examples/tree/main/mongodb - In this livestream, we’ll cover how to use Spring Data and MongoDB to improve developer efficiency. Mark will explain the basics of Spring Data and repositories, while Christoph will dive into MongoDB features like update methods, geospatial support, and transactions. We'll also discuss extending Spring Data with vector search and creating custom extensions.
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Oct 23, 2024
Video

Getting Started with Deno 2.0 & MongoDB

✅ Create your free Atlas Cluster → https://mdb.link/p541Je4J_ws-register ✅ Written tutorial → https://mdb.link/p541Je4J_ws-article ✅ Get help on our Community Forums → https://mdb.link/p541Je4J_ws-forums Deno is a “modern” runtime for JavaScript and TypeScript that is built in Rust. This makes it very fast! If you are familiar with Node.js, then you will be right at home with Deno. It is very similar but has some improvements over Node.js. In fact, the creator of Deno, Ryan Dahl, also created Node and Deno is meant to be the successor to Node.js. Deno now supports package managers like npm and JSR, while still maintaining the ability to import directly from URLs without a package manager. It uses ES modules, has first-class `await` support, has built-in testing, and implements web standard APIs where possible, such as built-in `fetch` and `localStorage`. This flexibility in dependency management allows developers to choose the approach that best suits their project needs. Aside from that, it’s also very secure. It’s completely locked down by default and requires you to enable each access method specifically. This makes Deno pair nicely with MongoDB since it is also super secure by default. 🔗 GitHub Repo: https://github.com/mongodb-developer/getting-started-deno-mongodb ⏱️ Timestamps ⏱️ 00:00 - Introduction 01:49 - Getting Started with Deno 2.0 02:36 - Creating a Basic HTTP Server 06:05 - Setup MongoDB Connection 08:28 - Configure Environment Variables 09:05 - Create Route Controllers 09:31 - Add Todo Function 11:37 - Get Todos Route 13:26 - Get Todo Route (Single Item) 15:18 - Update Todo Route 17:48 - Delete Todo Route 19:07 - Bonus: Aggregation Route 21:59 - What Next? Subscribe to MongoDB YouTube→ https://mdb.link/subscribe
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Oct 22, 2024
Tutorial

Getting Started With Deno 2.0 & MongoDB

Deno is a “modern” runtime for JavaScript and TypeScript that is built in Rust. This makes it very fast! Deno 2.0 pairs nicely with MongoDB.
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Oct 22, 2024
Jesse Hall
Video

The Future of MongoDB: Performance, Security, and Scalability for Developers

✅ Try MongoDB 8.0 → https://mongodb.prakticum-team.ru/products/updates/version-release ✅ Sign-up for a free cluster → https://mongodb.prakticum-team.ru/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.
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Oct 21, 2024
Video

Building Controllable and Reliable LLM Applications

✅ Read the article → https://mdb.link/iuLZqpE4c1Y-article ✅ Try MongoDB 8.0 → https://mdb.link/iuLZqpE4c1Y-try ✅ Sign-up for a free cluster → https://mdb.link/iuLZqpE4c1Y-free - In this livestream, we will learn how to introduce control and reliability into LLM applications taking the example of a RAG system involving self-querying retrieval. We will orchestrate the system as a controlled flow graph and introduce reliability via structured outputs.
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Oct 18, 2024
Video

Getting started with Spring AI and MongoDB: Semantic Search in Spring

✅ MongoDB Spring AI docs: https://mongodb.prakticum-team.ru/docs/atlas/atlas-vector-search/ai-integrations/spring-ai/ ✅ Github repo: https://github.com/mongodb-developer/lyric-semantic-search ✅ Written tutorial (with all the code snippets): https://mongodb.prakticum-team.ru/developer/languages/java/spring-ai-mongodb-atlas/ - In this tutorial, you'll learn how to create a lyric semantic search application using Java, Spring AI, MongoDB Atlas, and OpenAI embeddings. We cover document storage, search functionality with semantic embeddings, and deploying the app. Perfect for those looking to build intelligent search systems using vector stores and AI. - ✅ Try MongoDB 8.0 → https://trymongodb.com/3NlTC4g ✅ Sign-up for a free cluster → https://trymongodb.com/4gVc01D ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe
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Play Button

Oct 17, 2024