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Trader Joe's Fall Faves Party Planner With Playwright, LlamaIndex, and MongoDB Atlas Vector Search
In this tutorial, we create a Trader Joe’s AI party planner using Playwright to scrape our fall faves and the LlamaIndex/Atlas Vector Search integration to build a chatbot to answer questions about our items!
Nov 12, 2024 | 11 min read
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Tutorial
Trader Joe's Fall Faves Party Planner With Playwright, LlamaIndex, and MongoDB Atlas Vector Search
In this tutorial, we create a Trader Joe’s AI party planner using Playwright to scrape our fall faves and the LlamaIndex/Atlas Vector Search integration to build a chatbot to answer questions about our items!Nov 12, 2024
Tutorial
How to Choose the Best Embedding Model for Your LLM Application
In this tutorial, we will see why embeddings are important for RAG, and how to choose the best embedding model for your RAG application.Nov 07, 2024
Tutorial
Using Golang for AI
This article explains in full detail the implementation of the backend for the celebrity matching application from scratch written in Go. ✅ Sign-up for a free cluster at → https://mdb.link/free-biaEuu57mbs ✅ Get help on our Community Forums → https://mdb.link/community-biaEuu57mbsNov 07, 2024
Video
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
Tutorial
Simplify Semantic Search With LangChain and MongoDB
Dive into semantic search with our tutorial on integrating LangChain and MongoDB. Simplify loading, transforming, embedding, and storing data.
Oct 28, 2024
Video
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
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.
Oct 25, 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.
Oct 24, 2024
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.Oct 21, 2024
Quickstart
MongoDB Atlas Search Integration with BuildShip
Learn how to integrate MongoDB Atlas Search with BuildShip to create advanced, powerful search functionalities in your applications using a low-code/no-code interface. With MongoDB's full-text, vector, and hybrid search capabilities, BuildShip makes it easy to add rich, relevant search experiences without extensive coding.Oct 15, 2024
