Browsing Tag
LLM
11 posts
High-Performance Vector-Search Grids with Java
The rapid rise of Generative AI has fundamentally changed how modern systems are designed. While much of the…
AI without spaghetti: Clean architecture in the age of AI
When “Just ship it” turns into lasagna code We start with a familiar scene: a small experiment that…
Bring AI into your Jakarta EE apps with LangChain4J-CDI (formerly SmallRye-LLM)
Goal: This article will demonstrate how to add AI features to a Jakarta EE / MicroProfile application using…
Solutions to achieve desired results from Generative AI Models
Rise of Generative AI Generative AI (GenAI) has gained significant prominence in the last couple of years. This…
Building Local LLM AI-Powered Applications with Quarkus, Ollama, and Testcontainers
Traditionally, many AI-powered applications rely on cloud-based APIs or centralized services for model hosting and execution. While this…
Evaluating RAG Pipelines with the RAG Triad
Retrieval-Augmented Generation (RAG) emerged as a dominant framework for feeding Large Language Models (LLMs) the context beyond the…
Local AI with Java: AI Integration Without Cloud Dependency
The future of artificial intelligence is local. Increasingly, companies are turning to local AI models to ensure data…
AI Tools for Jakarta EE
Introduction Artificial Intelligence (AI) is transforming the world of software development, including Jakarta EE. Traditionally, developers relied on…
Build AI Apps and Agents in Java: Hands-On with LangChain4j
LangChain4j is a java library to make interactions with AI models and LLMs in Java easy, with unified…
1BRC with AI – curious and curiouser said the LLM
Did you try turning it off and on first? (I promise this is the last 1BRC-related post). Read…
