LangChain4j
@langchain4j
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Build LLM-powered applications in Java, Quarkus and Spring Boot. Chatbots, agents, RAG and much more! https://t.co/5nBDPenP6l
Munich, Bavaria
Joined June 2023
RT @QuarkusIO: Dimitris Andreadis is presenting "Crafting Intelligent Applications with Quarkus/LangChain4j" next Tuesday at Riviera Dev.….
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RT @sidagarwal04: 🚀 It’s here! Intro video for my book: Building Neo4j-Powered Applications with LLMs is live 🎥GraphRAG, @neo4j, @Haystack_….
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RT @ajeetsraina: A minimal Java + HTML + JS chat app that shows how to use @Docker Model Runner as a local LLM backend — fully integrated….
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RT @thenewstack: .@java is becoming an essential part of the agentic AI stack. Learn how to get started with tools like MCP, @langchain4j,….
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RT @QuarkusIO: Build a Java Application where the LLM decides how the UI should look (with a safe JSON fallback). .
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RT @QuarkusIO: Quarkus and WildFly teams from Red Hat collaborating with Google on launch of Agent2Agent Java SDK .
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RT @edburns: Come see me talk about @langchain4j at @IBMCommunity TechXChange October 6 - 9 in Orlando.
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RT @piotr_minkowski: [New post✍️🆕].AI🧠 Tool Calling with Quarkus🚀 LangChain4j🦜.🏷️ #quarkus #ai #LLM #tool #guardrail @langchain4j . https://….
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RT @bjschrijver: Played around a bit with MCP integration with .@QuarkusIO, @langchain4j and Ollama during the yearly hackathon with the @O….
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RT @piotr_minkowski: [New post✍️🆕] Getting Started with Quarkus LangChain4j and Chat Model 🚀🧠.🏷️ #AI #OpenAI #MistralAI #Ollama #Quarkus @l….
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#LangChain4j 1.1.0 is out! 🎉. This release includes the next batch of RC1 modules, along with some great new features!.
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RT @edeandrea: Thank you to everyone who attended my talk "#RAG & #Tools with @langchain4j" at @soujava's 30-year celebration. The slides f….
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RT @edeandrea: Are you utterly confused about #RAG, #Tools, and #MCP? Want to learn what they are, how they work, and what things you need….
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RT @xstefank: I'm super happy that I can share that the FREE FULL VERSION of Quarkus in Action continues to be available until January 16,….
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RT @myfear: Create your Happy Place! A streaming social feed with Quarkus, LangChain4j, and Ollama that adapts to user sentiment using keyw….
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RT @JAVAPROmagazin: Trying to run #LLMs locally — but the ecosystem’s a mess? #LangChain4j + #Ollama offer a clean, unified path: streaming….
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RT @QuarkusIO: Create a streaming social feed with Quarkus, LangChain4j, and Ollama that adapts to user sentiment using keyword-based memor….
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