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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..png&w=3840&q=75)
Feb 06, 2025
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.
Feb 01, 2025
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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.
Jan 29, 2025
Article
The cost of not knowing MongoDB (V5RX) - Part 2
Discover the power of MongoDB schema optimization in the second part of The Cost of Not Knowing MongoDB series. This deep dive explores the impact of different data modeling approaches, focusing on the Bucket Pattern and Computed Pattern to enhance query performance and storage efficiency. Learn how grouping data by month or quarter can significantly reduce index size and improve read operations, while pre-computing aggregations can optimize reporting. With real-world benchmarks, load test results, and practical TypeScript code, this guide demonstrates how strategic schema design can maximize MongoDB’s potential.Jan 29, 2025
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.Jan 27, 2025
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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.
Jan 22, 2025
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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.
Jan 17, 2025
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Tutorial
Building an AI Agent With Semantic Kernel, C#, OpenAI, and MongoDB Atlas
Learn how to easily create an AI agent application using MongoDB Atlas, Microsoft’s Semantic Kernel, C#, and OpenAI with Developer Advocate Luce Carter.
Jan 14, 2025
Tutorial
Testing and Packaging a Python Library
Learn how to build pytest fixtures for testing code that interacts with a MongoDB database, and how to package a Python library using the hatchling library.
Jan 13, 2025
