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 …
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Thibaut Gourdel
10,846 viewsWhile large language models (LLMs) hold immense promise for building AI applications and agentic systems, ensuring they generate reliable …

Tim Kelly
22,729 viewsIn modern software design, it is important to develop code that is clean and maintainable. One way developers do this is using the Service …

Ricardo Mello
6,211 viewsBringing together semantic vectors and exact keyword matching with $rankFusionIf you’ve been following along this series, you already know …

Artur Costa
2,695 viewsWelcome to the third and final part of the series "The Cost of Not Knowing MongoDB." Building upon the foundational optimizations explored …

Ricardo Mello
2,047 viewsIn the previous article—Getting Started With Hibernate ORM and MongoDB—we learned how to configure Hibernate to work with MongoDB, create an …

Ricardo Mello
4,177 viewsFor years, Hibernate ORM has been one of the most popular frameworks in the Java ecosystem. It was built to simplify data persistence by …

Artur Costa
2,239 viewsImagine we are responsible for managing the MongoDB cluster that supports our country's national financial payment system, similar to Pix in …

Elie Hannouch
2,631 viewsInside MongoDB’s storage engine, WiredTiger, nothing happens by accident. Every page in memory exists under policy — governed, measured, and …

Ricardo Mello
3,616 viewsWelcome back! If you landed here without reading Part 1: Beyond Keywords: Implementing Semantic Search in Java With Spring Data, I recommend …

Artur Costa
3,177 viewsThis is the second part of the series “The Cost of Not Knowing MongoDB,” where we go through many ways we can model our MongoDB schemas for …