LangChain4J

Separate AI Helpdesk Triage from Remediation Without a Shared Deploy

A hands-on Java tutorial that keeps helpdesk triage local, moves remediation into a remote agent, and shows where the A2A boundary pays for itself.

May 17 • Markus Eisele

Build Hybrid MCP Tool Agents in Quarkus

Build a hybrid Quarkus workflow that keeps MCP tool steps deterministic, reserves LangChain4j for judgment, and exposes the whole graph at `/topology`.

May 12 • Markus Eisele

Make Agent Workflows Inspectable Before Production

Expose a live agent workflow from Quarkus with AgentMonitor, HtmlReportGenerator, and an SSE feed for recent runs.

May 9 • Markus Eisele

Managing AI Tool Sprawl with LangChain4j, Quarkus, and Ollama

Build a 50-tool local assistant and see what tool search changes for prompt budget, answer quality, and the cost of carrying a large catalog.

May 7 • Markus Eisele

The LangChain4j Proficiency Exam: 50 Questions for Senior Java Devs (2026 Edition)

Master LangChain4j with 50 expert-curated interview questions. Covers RAG pipelines, AI Services, Tool Support, and Memory management in Quarkus and…

Feb 1 • Markus Eisele

Building a Secure Hybrid RAG Pipeline in Java with Quarkus and JWT

Protect enterprise data by enforcing user-scoped SQL and vector retrieval with LangChain4j.

Jan 6 • Markus Eisele

High-Throughput AI Video Processing with Quarkus and LangChain4j

A practical Java guide to mixing JavaCV face detection and multimodal LLM sentiment in one real-time pipeline.

Dec 2, 2025 • Markus Eisele

How to Build a Stateful AI Chat System in Java with Quarkus and LangChain4j

Learn how to implement sliding-window memory, JPA persistence, and multi-session chat for reliable LLM applications.

Dec 1, 2025 • Markus Eisele

Semantic Caching for Java: Turbocharge Your Quarkus + LangChain4j LLM Apps

A practical hands-onLearn how to add fast, meaning-aware caching to your local LLM workflows using pgvector, embeddings, and a clean proxy wrapper…

Nov 25, 2025 • Markus Eisele

Building a Real-Time AI Progress Tracker with Quarkus, LangChain4j, Ollama, and Granite 4

Turn your LLM pipeline into a transparent, step-by-step experience that shows retrieval, prompt creation, and model calls in real time. Powered by…

Oct 21, 2025 • Markus Eisele

Securing LLM Responses in Java: Guardrails with Quarkus and LangChain4j

Learn how to protect your AI applications from prompt injection, unsafe outputs, and risky prompts with practical guardrail patterns in Quarkus.

Oct 12, 2025 • Markus Eisele

Building a Museum App with Quarkus, LangChain4j, and MCP

How Java developers can combine vision AI, real-time context, and modern Quarkus features to create privacy-aware, engaging applications.

Oct 9, 2025 • Markus Eisele

#nojs-banner { position: fixed; bottom: 0; left: 0; padding: 16px 16px 16px 32px; width: 100%; box-sizing: border-box; background: red; color: white; font-family: -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 13px; line-height: 13px; } #nojs-banner a { color: inherit; text-decoration: underline; } This site requires JavaScript to run correctly. Please turn on JavaScript or unblock scripts