LangChain4j

15 articles in this category.

Tiberius: A Security Testing Framework for LLM Applications in Java How do you write a regression test for a system that is …

Mar 20, 2026 Miro Wengner

Over the past two weeks, the field of artificial intelligence has continued its remarkable pace of advancement. As AI becomes increasingly …

Jan 24, 2026 Buhake Sindi

Goal: This article will demonstrate how to add AI features to a Jakarta EE / MicroProfile application using LangChain4J‑CDI, with simple to …

Fourteen days have passed, and it is time to present a fresh collection of readings that could influence developments in the field of …

14 days have passed and it's time for a new batch of readings that could shape developments in the field of artificial intelligence.

Learn how to build secure AI applications using LangChain4j guardrails in Spring Boot. Implement input/output validation, prevent prompt …

Let's have an AI Bingo and talk about ChatGPT, LLM, ML, RAG, MCP, GenAI, and more! This is part 3 of the interviews recorded at the JCON …

Let’s get in and build a Quarkus REST API that classifies text sentiment using a local LLM model (like Phi-3 Mini) pulled in via Ollama.

We know that LLMs can and will make mistakes, and while enriching your prompts with the proper context can help align results with your …

The implementation of RAG introduces security considerations. Risks such as prompt injection, data poisoning, access control gaps, and data …