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From Answers to Evidence: Enterprise RAG in Java
Adding citations, provenance, and deep links with Quarkus and LangChain4j
 • Markus Eisele
Running TensorFlow from Java 25 Without JNI or Python
How the Foreign Function & Memory API Enables Fast, Local ML Inference on macOS
 • 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.
 • Markus Eisele
Build Agent-Ready RAG Systems in Java with Quarkus and Docling
Use layout-aware PDF parsing, pgvector retrieval, and local LLMs to give agents accurate, real-time knowledge.
 • Markus Eisele
Predicting NFL Games with Java: A Full ML Microservice Built on Quarkus
How I used real NFL data, Tribuo, and Quarkus to build a complete machine-learning pipeline from ingestion to prediction.
 • 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.
 • 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.
 • Markus Eisele
Build Local Image Search with Quarkus, ONNX, and pgvector (No Cloud Required)
Build a fast, offline image similarity search engine in Java using Quarkus, ONNX Runtime, LangChain4j, and PostgreSQL with pgvector. This hands-on…
 • 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…
 • Markus Eisele
Can You Really Detect AI Writing? Let’s Build a Detector in Java with Quarkus and LangChain4j
A hands-on exploration of how far text analysis, OpenNLP, and embeddings can go in separating human from AI-generated writing and what that means for…
 • Markus Eisele
Applied AI for Enterprise Java: A Field Guide for the Next Generation of Developers
How real-world teams are bringing Generative AI, LLMs, and Java together to build production-ready intelligent systems.
 • Markus Eisele
Build a Smarter AI Prompt Server with Quarkus and the Model Context Protocol
Learn how to connect GitHub’s awesome-copilot-prompts to Claude and other AI clients using a production-ready Quarkus MCP Server with persistent…
 • Markus Eisele
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