Aggregation Optimization in MongoDB: A Case Study From the Field (Part 1)
MongoDB, by virtue of its use of the document data model rather than the rows and columns of tabular RDBMSs, provides ways of modeling …
Mongo
Building an AI-Powered Operations Assistant with Spring AI and MongoDB Atlas — Part 2: Conversational Memory
This is the second article in a three-part series. Part 1 covered the RAG foundation — loading runbooks into a vector store and wiring them …
Introduction to CQRS using MongoDB
In enterprise environments, projects often begin with a simple structure: one model, one service, and one document, using a single class and …
MongoDB as a Vector Database for AI Agents-MongoDB
Modern artificial intelligence systems are continually evolving. Large Language Models, or LLMs, have become the backbone of modern …
What is Sharding in MongoDB and When Should You Use It?
If you're using MongoDB, sharding is the mechanism that allows your database to scale beyond the limits of a single machine. In this …
Exploring MongoT
MongoT is a wrapper around the amazing Java search engine: Lucene.
AI-Powered Code Review Assistant: Automated Code Analysis with Spring AI and MongoDB
In this article, you will build a code review assistant API. Developers submit code snippets through a REST endpoint. The system embeds the …
Building an AI-Powered Operations Assistant with Spring AI and MongoDB Atlas — Part 1: RAG Foundation
This is the first article in a three-part series. Part 2 covers short-term and long-term memory; Part 3 introduces stateful workflow …
When Should You Use a Cache With MongoDB?
From time to time, I'll run a design review for an application being migrated from a relational database onto MongoDB, where the customer …
Large-Scale ETL Pipeline Architecture
In this article, we will explore how to design a high-throughput ETL pipeline architecture using Java, focusing on concurrency models, error …