quarkus-workshop-langchain4j — MCP Server by quarkusio

by quarkusio · MCP Server · ★ 89

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About quarkus-workshop-langchain4j

quarkus-workshop-langchain4j A workshop to learn how to build AI-Infused applications with Quarkus and LangChain4j. The workshop is divided into several steps. You can follow the instructions available in the workshop website. Alternatively, you may serve the instructions locally by following the docs/README file. The final state of each step is available in the directory. You can quickly jump to the final state of a step by navigating to the corresponding directory, and then running the following command: The application runs on http://localhost:8080.

aichatbotlangchainllmmcpmcp-serverquarkusworkshop

Quick Facts

Stars89
Forks74
LanguageJava
CategoryMCP Server
LicenseApache-2.0
Quality Score55.9268231120873/100
Open Issues16
Last Updated2026-07-02
Created2024-06-19
Platformsjava, mcp
Est. Tokens~16k

Compatible Skills

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Frequently Asked Questions

What is quarkus-workshop-langchain4j?

quarkus-workshop-langchain4j is Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration. It is categorized as a MCP Server with 89 GitHub stars.

What programming language is quarkus-workshop-langchain4j written in?

quarkus-workshop-langchain4j is primarily written in Java. It covers topics such as ai, chatbot, langchain.

How do I install or use quarkus-workshop-langchain4j?

You can find installation instructions and usage details in the quarkus-workshop-langchain4j GitHub repository at github.com/quarkusio/quarkus-workshop-langchain4j. The project has 89 stars and 74 forks, indicating an active community.

What license does quarkus-workshop-langchain4j use?

quarkus-workshop-langchain4j is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to quarkus-workshop-langchain4j?

The top alternatives to quarkus-workshop-langchain4j on Agent Skills Hub include c4-genai-suite, EDDI, oreilly-ai-agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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