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Tutorial
Spring Data Unlocked: Advanced Queries With MongoDB
In the second part of the Spring Data Unlocked series, we continue building on the concepts introduced in Getting Started With Java and MongoDB. In this section, we focus on creating advanced queries and exploring how Spring Data works seamlessly with MongoDB.Nov 08, 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
Tutorial
Seamless Media Storage: Integrating Azure Blob Storage and MongoDB With Spring Boot
Learn how to build a Spring Boot application to upload your media files into Azure Blob Storage, while storing associated metadata in MongoDB.Nov 05, 2024
Tutorial
Building a Scalable Media Management Back End: Integrating Node.js, Azure Blob Storage, and MongoDB
Learn to create your own media management backend, storing your media files in Azure Blob Storage, and associated metadata in MongoDB.Nov 05, 2024
Tutorial
Creating a Memory-enhanced AI Agent With Anthropic's Claude in Amazon Bedrock With MongoDB Atlas
Let's build a knowledge-based system to provide personalized info by leveraging a search architecture to handle keyword-based queries and conversational inquiries.Oct 29, 2024
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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
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