Atlas Searching with the Java Driver
Atlas Search is a full-text search engine embedded in MongoDB Atlas that gives you a seamless, scalable experience for building …
Category
Databases
Navigating the Nuances of GraphRAG vs. RAG
While large language models (LLMs) hold immense promise for building AI applications and agentic systems, ensuring they generate reliable …
Service Layer Pattern in Java With Spring Boot
In modern software design, it is important to develop code that is clean and maintainable. One way developers do this is using the Service …
Beyond Keywords: Hybrid Search With Atlas and Vector Search (Part 3)
Bringing together semantic vectors and exact keyword matching with $rankFusionIf you’ve been following along this series, you already know …
The Cost of Not Knowing MongoDB - Part 3: (appV6R0 to appV6R4)
Welcome to the third and final part of the series "The Cost of Not Knowing MongoDB." Building upon the foundational optimizations explored …
Modeling Relationships With Hibernate ORM and MongoDB
In the previous article—Getting Started With Hibernate ORM and MongoDB—we learned how to configure Hibernate to work with MongoDB, create an …
Getting Started With Hibernate ORM and MongoDB
For years, Hibernate ORM has been one of the most popular frameworks in the Java ecosystem. It was built to simplify data persistence by …
The Pitfall of Increasing Read Capacity by Reading From Secondary Nodes in a MongoDB Replica Set
Imagine we are responsible for managing the MongoDB cluster that supports our country's national financial payment system, similar to Pix in …
How MongoDB Decides What to Forget?
Inside MongoDB’s storage engine, WiredTiger, nothing happens by accident. Every page in memory exists under policy — governed, measured, and …
Beyond Keywords: Optimizing Vector Search with Filters and Caching (Part 2)
Welcome back! If you landed here without reading Part 1: Beyond Keywords: Implementing Semantic Search in Java With Spring Data, I recommend …