#langchain4j — Public Fediverse posts

Our next #JCON2026 session is live: '#AI driven Unstructured Data Extraction Using #Apache Camel and #LangChain4J' with Alexandre Gallice

A big chunk of the #data generated today is unstructured and it's growing at a #crazy fast pace. However ...

Grab your coffee and hit play: https://youtu.be/tcCUTs0S_ZA

Policy-aware moderation works best when the policy travels with the request.

I built Shieldstral into a Quarkus LangChain4j service as scored input and output guardrails. The tutorial covers the one-token classifier contract, vLLM with Podman, fail-closed outages, deterministic HTTP stubs, and real-model threshold calibration.

https://www.the-main-thread.com/p/shieldstral-quarkus-langchain4j-guardrails

#Quarkus #LangChain4j #AIGuardrails #MistralAI

Java December 2025 Roundup: Vault, Micronaut, Gradle & More
https://techlife.blog/posts/java-roundup-december-22nd-2025/

#Java #Spring #Micronaut #Quarkus #Gradle #LangChain4j #Infinispan

Java December 2025 Roundup: Vault, Micronaut, Gradle & More
https://techlife.blog/posts/java-roundup-december-22nd-2025/

#Java #Spring #Micronaut #Quarkus #Gradle #LangChain4j #Infinispan

New hands-on tutorial on The Main Thread 🚀

I built a real-time emotion detector in Java using #Quarkus, #JavaCV, #WebSocketsNext, and #LangChain4j.

The pipeline streams webcam frames → detects faces locally → sends only the cropped face to a multimodal LLM (GPT-4o/Gemini) for emotion classification.

High-throughput + low latency = fun and surprisingly practical.

👉 https://www.the-main-thread.com/p/real-time-emotion-detection-quarkus-langchain4j-webcam

#JavaDevelopers #AIPipelines #MultimodalAI #FaceDetection

Someone recently accused me of writing with AI.
So I did what any Java dev would do — I built a detector.

A hands-on Quarkus + LangChain4j project that mixes OpenNLP, embeddings, and curiosity.
It doesn’t prove who wrote something, but it reveals why it feels human or machine-made.

🔗 https://www.the-main-thread.com/p/ai-writing-detector-quarkus-langchain4j-java

#Java #Quarkus #LangChain4j #AI #OpenNLP #DevLife

LangChain4j 1.7.1 is out and now integrates GPU-accelerated large language model (LLM) via GPULlama3.java and TornadoVM

#ai #gpu #java #langchain4j #llama #llm #tornadovm

https://github.com/langchain4j/langchain4j/releases/tag/1.7.1

Psst… your forms could talk. They could remember. Validate. Help. Loïc Magnette shows how to give forms a brain using #LangChain4j + #Quarkus. It’s not a dream. It’s a pattern.

Learn it now: https://javapro.io/2025/04/15/ai-powered-form-wizards-chat-click-done/

#AIUX #ConversationalUI #JAVAPRO #Java

RAG, memory, multimodality... in a form? Yep. Loïc Magnette built a talking form that can read files, validate data, and reply like a human.
This isn’t a demo - it’s a dev-ready guide.

Dive in: https://javapro.io/2025/04/15/ai-powered-form-wizards-chat-click-done/

#LangChain4j #Quarkus #AIUX #JAVAPRO #Java @langchain4j

Wednesday Links - Edition 2025-04-30
https://dev.to/0xkkocel/wednesday-links-edition-2025-04-30-4jao
#java #jvm #spring #commit #nats #langchain4j #zgc #junit5

Forget next-gen #UX. This is next-human UX. Loïc Magnette turns boring forms into helpful convos - with validation, memory, even file upload.
Your form, but smarter.

Try the blueprint: https://javapro.io/2025/04/15/ai-powered-form-wizards-chat-click-done/

#LangChain4j #Quarkus #AIUX #ConversationalUI #Java

Why should users adapt to your form… when the form can adapt to them? #AI flips the #UX script. Loïc Magnette shares how with memory, validation & RAG, forms become assistants.

Read it here: https://javapro.io/2025/04/15/ai-powered-form-wizards-chat-click-done/

#LangChain4j #Quarkus #AIUX #ConversationalUI #Java @langchain4j