LangChain4j

LangChain4j

@langchain4j.dev

Effortlessly build LLM-powered applications in Java, including chatbots, agents, structured data extraction and RAG: https://github.com/langchain4j/langchain4j

778 followers232 following69 posts

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#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! github.com/langchain4j/...

github.comRelease 1.21.0 and 1.21.0-beta31 · langchain4j/langchain4jDecision Models (experimental) This release introduces decision models: a new model type that answers questions about an input with typed answers and probabilities instead of generated text. They a...

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Replying to @promptslinger.bsky.social

Have a look at @langchain4j.dev's agentic module. There are different but interesting strategies for multi-agent collaboration, like their peer-to-peer mode, the goal oriented action planning mode, etc. I haven't tried them yet on my experiment though, but I think they could do wonders too.

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💭 Inspired by @maxandersen.xam.dk I forked my own little 🤖𝗻𝗮𝗻𝗼𝗰𝗼𝗱𝗲 𝗰𝗼𝗱𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝘁 but using @langchain4j.dev ➕ #gemini 2 approaches: 1⃣ single AI service w/ all tools 2⃣ multi-agent w/ specialized tools Bonus: Web search & Markdown rendering glaforge.dev/posts/2026/0...

glaforge.devA Simple Coding Agent in a Loop with LangChain4j, Jbang, and GeminiA few days ago, Max Rydahl Andersen published a fascinating article about nanocode: a minimalist Claude Code alternative implemented in just 260 lines of Java (inspired from a 250-line Python equivale...

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Si vous vous demandez comment ajouter un peu de sécurité dans vos chatbots, je vous propose de découvrir les guardrails grâce à @langchain4j.dev et AI Endpoints d'OVHcloud : - 🇫🇷 philippart-s.github.io/blog/2026-02... - 🏴󠁧󠁢󠁥󠁮󠁧󠁿 philippart-s.github.io/blog/2026-02...

philippart-s.github.io🛡️ Des garde-fous pour tes LLM avec LangChain4J 🛡️I'm sorry, Dave. I'm afraid I can't do that. © HAL 9000

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Today kicks off @jfokus.se in Stockholm 🇸🇪 and we just delivered our workshop on building with open source AI models using: ⚡️ #vLLM serve local LLM’s as a local API endpoint 🦜 @langchain4j.dev for adding LLM capabilities in our Java application Was a huge hit! Slides ⬇️

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🚀 #LangChain4j just hit 10K ⭐ on GitHub! Huge thanks to the community for all the support, contributions, and momentum! ❤️ Excited for what's ahead!

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New release of #GPULlama3.java v0.3.0 🚀 Faster NVIDIA inference & pure Java GPU demo (@quarkus.io + @langchain4j.dev, no native dependencies). Learn more: gpullama3.dev GitHub: github.com/beehive-lab/... A great achievement from our team! #opensource #Java #AI #LLM #GPU #TornadoVM

gpullama3.devGPULlama3.java | GPU Acceleration for Java AIGuidelines for users to clone GPULlama3.java and run it on their systems.
Michalis Papadimitriou@mikepapadim.bsky.social

🚀 gpullama3.java v0.3.0 is out! Faster FP16 & Q8 inference on NVIDIA GPUs, smoother setup with the new TornadoVM SDKs and seamless Quarkus integration. Also, here is a demo of @quarkus.io + @langchain4j.dev running GPU inference on NVIDIA through @tornadovm.org fully in Java, no native deps!

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