AI Newsletter #1
After brainstorming, our Java Champion Education group agreed to create a newsletter with a 14 days cadence.
Machine Learning
How to Make a RAG Application With LangChain4j
Let's use MongoDB with LangChain4j to create a simple RAG application. LangChain4j abstracted away a lot of the steps along the way, from …
Understanding MCP Through Raw STDIO Communication
Get hands-on experience with the exact code examined in this article, along with exercises, debugging techniques, and best practices for …
The Great Data Reimagination: From Static to Agile in the AI Era
We’re in the middle of a fundamental change in how enterprise software works. In the next decade, your database will become your AI.
How I Improved Zero-Shot Classification in Deep Java Library (DJL) OSS: Enhancing Machine Learning Model Translators
Learn how I improved zero-shot classification in Deep Java Library (DJL) by fixing token_type_ids support, optimizing logit handling, and …
Intro to RAG: Foundations of Retrieval Augmented Generation, part 2
In this blog post, we'll explore the different layers of RAG, including vector RAG, graph RAG, and agents.
Intro to RAG: Foundations of Retrieval Augmented Generation, part 1
Explore a few introductory concepts around Retrieval Augmented Generation (RAG), why it exists and the problems it solves.
How Deep Netts and Java AI Transformed Particle Physics
Jefferson Lab is leveraging Java-based AI to overcome one of the most computationally intense challenges in modern science.
Building FormPilot
My Journey Creating an AI-Powered Form Filler with RAG, LangChain4j, and Ollama
28,091 viewsFoojay Webinar: Java's Place in the AI Revolution
This first online Foojay Webinar highlights Java's place in the AI revolution, focusing on exploring AI/ML using pure Java tools.