LangChain4j

Build LLM-powered applications in Java, Quarkus and Spring Boot. Chatbots, agents, RAG and much more!

[@[email protected] 🦣 (ehsavoie) @ehsavoie]

Let's get started with #A2A and hashtag#Java with a 2h workshop, it's time to distribute your swarm of agents. Come to https://t.co/dHTzlaUHdd
#devoxx #a2a #java #ai
with @mariofusco and @kevindubois

[LangChain4j @langchain4j]

#LangChain4j 1.21.0 is out! 🚀

Meet Decision Models: instant yes/no, choice and scale answers with probabilities.
Decision Services turn any Java interface into a classifier.
Plus model routing, re-ranking, tool selection, guardrails and agentic routing!

https://t.co/LP02Y1ogQu

[Guillaume Laforge @glaforge]

Planning your @Devoxx Belgium schedule? With 200+ talks across 8 parallel tracks, picking sessions takes time.

I built a personalized agenda generator using @Micronautfw, @LangChain4j, and #Gemini 3.5 Flash-Lite on #Java 25 virtual threads!

Here is how it works 🧵👇

[Devoxx @Devoxx]

Another highly anticipated Devoxx Belgium conference talk is the one from @mariofusco and @kevindubois on the Agentic AI Evolution and lessons learned! 🚀
https://t.co/tDbYBcHM0T

[LangChain4j @langchain4j]

#LangChain4j 1.20.0 is out!

Headline features: async/reactive AI Services, and opt-in Jackson 3.

https://t.co/IeeVl1QxmT

[Johannes Rabauer @JohannesRabauer]

Building a Java app with @langchain4j that talks to a real AI model, then deploying it to @Azure. Sounds like a whole day of setup, right? We're finding out live with @bbenz Today:
https://t.co/IPWFMTCtfW
#Java #AI #AzureAIFoundry

[Martin Kouba @martunek]

🔔Quarkus MCP Server 2.0.0 is GA! First stable 2.0 release, with support for the latest MCP spec (2026-07-28) and its new stateless protocol. Older versions remain supported - behavior is determined by the protocol version the client requests. See https://t.co/rttSYGAeu6

[Loïc Magnette @LoMagnette]

Summer break is over and the new conference season is approaching!

Thrilled to be speaking TWICE at @Devoxx 2026 🇧🇪 this October:

⚡ Tools in Action: modern automation with @java
🤿 Deep Dive: from AI to agentic systems with @langchain4j

Heading to Antwerp? Come say hi! 🎤

[LangChain4j @langchain4j]

@riferrei @dynamodb Thanks a lot!

[Mario Fusco @mariofusco]

A conference talk to discover the new agentic capabilities of @langchain4j, a hands-on-lab to put them at work and a deep dive into the architecture and programming model of @QuarkusIO to fully understand its advantages.

My @Devoxx agenda is complete, see you there😀

[LangChain4j @langchain4j]

#LangChain4j 1.19.0 is out!

https://t.co/lQTzCJt4qr

[JAVAPRO @JAVAPROmagazin]

Warum für #KI-Projekte Python lernen, wenn dein Team bereits #Java kann? Jean-Claude Brantschen zeigt, wie @langchain4j #OpenAI, Claude, Gemini & @Ollama über dieselbe API verbindet – mit weniger Boilerplate & mehr Typsicherheit: https://t.co/IKvWBJINtv

#LLM #LangChain4j

[Mario Fusco @mariofusco]

The Self-Building Agent: A @LangChain4j Experiment
https://t.co/lPXhGrog6G

[Stephan Janssen ☕️🧠🧞‍♂️ @Stephan007]

The open-source @DevoxxGenie @JetBrains Coding Agent plugin has just surpassed 104,000 active users and over 80,000 Marketplace downloads! 🚀🥳

A huge thank-you to everyone using it and contributing feedback 🙏❤️

See also https://t.co/pwRbTrK6P0

[LangChain4j @langchain4j]

#LangChain4j 1.18.0 is out!

https://t.co/aEcN05bUym

[Elder Moraes @elderjava]

If you build enterprise Java and keep hearing that AI means rewriting everything in Python, one number is worth sitting with: Azul's 2026 State of @java survey says 62% of organizations now use Java to code AI functionality, up from 50% a year ago.

1/5

[Andrii Rodionov @AndriiRodionov]

Building an AI-Powered Assignment Grader with #Hazelcast Jet and #LangChain4j https://t.co/66z5eTavDN

[JAVAPRO @JAVAPROmagazin]

As #AI applications grow, prompts become workflows—and workflows become systems. Read @LoMagnette's guide to mastering #LangChain4j Agentic Workflows, from simple agents to supervisor patterns, error handling & production-ready orchestration: https://t.co/kp87aKN6BK

@langchain4j

[Stephan Janssen ☕️🧠🧞‍♂️ @Stephan007]

I had Fable 5 add this feature by looking at both the @langchain4j code base and the @DevoxxGenie project... awesome feature, make sure to install v1.8.12 of the plugin!🥳

[Andrii Rodionov @AndriiRodionov]

Excited to share that @Hazelcast can now be used with @LangChain4j as a Chat Memory and Embedding Store, and for #LangGraph4j as a Workflow checkpoints’ store.

- docs for LangChain4j - https://t.co/0S9ITDC4sA
- docs for LangGraph4j - https://t.co/CogUPBjFFI