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Featured Tutorials

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Getting Started With the MongoDB Kotlin Driver

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MongoDBKotlin

Sep 09, 2024 | 9 min read
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Building Modern Applications with Next.js and MongoDB

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Apr 11, 2023 | 21 min read
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Type Safety With Prisma & MongoDB

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Aug 09, 2024 | 4 min read
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Tutorial

Local-first and Reasoning-enhanced RAG With DeepSeek and MongoDB

Discover how DeepSeek’s innovative open-source models—DeepSeek-V3, DeepSeek Coder, and the groundbreaking reasoning model DeepSeek-R1—are revolutionizing local-first, retrieval-augmented generation (RAG) applications with MongoDB. This comprehensive guide details how cutting-edge chain-of-thought reasoning and model distillation techniques enhance AI performance and explainability. Learn how integrating tools like Ollama, Nomic-Text-Embed, LangChain, and Streamlit with MongoDB Atlas enables secure, scalable, and privacy-focused deployments ideal for industries such as healthcare and defense. Unlock advanced technical insights and step-by-step implementation strategies to build dynamic on-device AI applications that process and analyze sensitive documents with unparalleled accuracy and flexibility.
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Feb 01, 2025
Thibaut Gourdel
Tutorial

DeepSeek and the Future of LLMs: Why MongoDB’s LLM-agnostic Approach Matters

Discover how DeepSeek-R1—a revolutionary open-source LLM trained with innovative reinforcement learning—challenges commercial giants like GPT-4, while MongoDB’s LLM-agnostic architecture powers a cost-efficient, real-time retrieval-augmented generation system. Learn about advanced reasoning, benchmark performance, and practical implementation steps that make this cutting-edge AI solution a game-changer in the evolving AI landscape.
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Feb 01, 2025
Han Heloir (+1)
Tutorial

Boosting AI: Build Your Chatbot Over Your Data With MongoDB Atlas Vector Search and LangChain Templates Using the RAG Pattern

Learn how to enhance your AI chatbot's accuracy with MongoDB Atlas Vector Search and LangChain Templates using the RAG pattern in our guide.
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Jan 29, 2025
Arek Borucki
Tutorial

Terraforming AI Workflows: RAG With MongoDB Atlas and Spring AI

Learn how to automate infrastructure management with HashiCorp Terraform and MongoDB Atlas. This tutorial covers setting up clusters, vector search, and building a Spring Boot RAG app with OpenAI embeddings for intelligent data retrieval and scalable cloud integration.
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Jan 29, 2025
Tim Kelly
Tutorial

Building invincible applications with Temporal and MongoDB

Learn how Temporal simplifies building resilient distributed systems. This tutorial demonstrates Temporal's Durable Execution, automatic retries, and human-in-the-loop workflows through a hands-on example of a resilient money transfer application using Java and MongoDB.
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Jan 27, 2025
Tom Wheeler (+1)
Tutorial

How To Build a Fraud Detection Model in Java Using Deeplearning4J

Learn how to combine neural networks and scalable data management to build a real-world fraud detection system in Java! This tutorial uses Deeplearning4J to train a neural network and MongoDB for efficient transaction data management. Follow along as we preprocess customer transaction data, train a model to spot fraud, and integrate MongoDB for scalability. Perfect for Java developers looking to dive into AI and build production-ready solutions.
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Jan 27, 2025
Tim Kelly
Tutorial

MongoDB Atlas Authentication Using Service Accounts (OAuth)

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Jan 23, 2025
Wojciech Trocki
Tutorial

Building a Dynamic Pricing Microservice with Vertex AI and MongoDB Atlas

Utilizing MongoDB Atlas for efficient data storage and Google Cloud Platform for complex calculations and hosting, businesses can implement real-time pricing adjustments based on customer behavior and competitor data.
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Jan 22, 2025
Francesco Baldissera (+1)
Tutorial

Getting Started with MongoDB Atlas Local Search Experience Using Docker

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Jan 21, 2025
Michael Höller
Tutorial

Java Faceted Full-Text Search API using MongoDB Atlas Search

This is going to be a fun, practical tutorial demonstrating how to build a Java faceted full-text search API (like the ones powering sites like Amazon)! We’ll use an interesting dataset which showcases how you can effectively pair machine learning/AI-generated data with more traditional search to produce fast, cheap, repeatable, and intuitive search engines.
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Jan 17, 2025
LT
Luke Thompson