Elder Moraes

The real value of AI in the enterprise lies in what an application can do. Integrating Large Language Models (LLMs) into Java applications is no longer a complex task. With Quarkus and LangChain4j, you can build a production-ready AI service that runs entirely on your local hardware using Ollama. 1. Introduction For Java developers, the … Read more

Running Large Language Models (LLMs) locally with tools like Ollama is a paradigm shift for developer productivity. It creates a sandbox for innovation, enabling rapid prototyping, offline development, and limitless experimentation without the friction of API keys, rate limits, or pay-per-token costs. This local-first approach empowers developers to integrate AI into their workflows on their … Read more

The conversation around Generative AI has been dominated by what Large Language Models (LLMs) know. Their ability to process vast amounts of text and answer complex questions is impressive, but for any enterprise, knowledge alone is not enough. The real value lies in what an application can do. An LLM, on its own, is like … Read more

Every established company faces a common, persistent challenge: its most valuable asset, its collective knowledge, is often fragmented and difficult to access. Technical documentation, project histories, HR policies, and architectural decisions are scattered across Confluence, SharePoint, network drives, and countless Slack channels. When a developer needs a specific piece of information, their search often becomes … Read more

This tutorial provides a step-by-step guide on how to build a Java application that can send emails based on natural language commands. We will create an AI agent using Quarkus and Langchain4j, equipping it with a “tool” to send emails. This agent will run entirely on your local machine, leveraging Ollama to serve a local … Read more