Built something? We create video reels & spotlights for GitHub projects.Promote your project →
quarkusio
Home / Java / quarkus-workshop-langchain4j

quarkusio/quarkus-workshop-langchain4j

Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration

Java ◇ ai Apache-2.0
★108STARS
⑂85FORKS
!13ISSUES
🏆#6,620GLOBAL RANK
🔥3DAYS TRENDING
🚀
Maintainer Growth Kit for quarkus-workshop-langchain4j

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

Star History

Continuous Observations
Interactive star growth chart for quarkusio/quarkus-workshop-langchain4j
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#529

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

quarkus-workshop-langchain4j gained 10 stars in the last 30 days, about 1 a day, and now has 108. It is about 2 years old and has averaged roughly 54 stars a year. It ranks #529 among Java repositories and #6,620 across all languages on GitHubRepo.

Trending Record

quarkus-workshop-langchain4j has maintained a continuous presence across global trending indexes, peaking at #4609. Below is the 30-day activity profile:

💡 Overview

quarkus-workshop-langchain4j is an open-source project written in Java: Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, chatbot, langchain. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Java for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/quarkusio/quarkus-workshop-langchain4j.git
cd quarkus-workshop-langchain4j

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

quarkus-workshop-langchain4j coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with quarkus-workshop-langchain4j.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install quarkus-workshop-langchain4j using your package manager: `git clone https://github.com/quarkusio/quarkus-workshop-langchain4j.git`

2

Initialize your project workspace or configuration file for quarkus-workshop-langchain4j.

3

Import quarkus-workshop-langchain4j into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `quarkus-workshop-langchain4j --help` to verify successful setup.

👍 Strengths

Active community backing with 108 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Java for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Java and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

S

Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.

Compare ↗
G
google/guava ★ 51.9K Java

Google core libraries for Java

Compare ↗
D
apache/dubbo ★ 41.6K Java

The java implementation of Apache Dubbo. An RPC and microservice framework.

Compare ↗
T
eugenp/tutorials ★ 37.3K Java

Getting Started with Spring Boot 3:

Compare ↗

👥 Who Should Use This

Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

quarkusio/quarkus-workshop-langchain4j is currently ranked #6,620 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,595 inin-zou/codex-privacy-hud Python ★ 109 Compare ↗
#6,595 supermax92/qgraphflow JavaScript ★ 109 Compare ↗
#6,595 agent-labs-dev/fastbrowse Python ★ 109 Compare ↗
#6,595 CYBERVERSE-Research/skyline-speeder Rust ★ 109 Compare ↗
#6,595 paradigma-inc/limite-violetto Python ★ 109 Compare ↗
#6,620 quarkusio/quarkus-workshop-langchain4j This Project Java ★ 108
#6,620 flogic/object_daddy Ruby ★ 108 Compare ↗
#6,620 courtenay/splam Ruby ★ 108 Compare ↗
#6,620 mislav/coral Shell ★ 108 Compare ↗
#6,620 xdotcommer/flotomatic JavaScript ★ 108 Compare ↗
#6,620 karlmdavis/ksoap2-android Java ★ 108 Compare ↗

Frequently Asked Questions

What does quarkus-workshop-langchain4j do? +

Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration

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

The primary language is Java. Topics include: ai, chatbot, langchain, llm, mcp.

Is quarkus-workshop-langchain4j actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 13 open issues being tracked.

How many stars does quarkus-workshop-langchain4j have? +

quarkus-workshop-langchain4j has 108 stars and 85 forks on GitHub.

How does quarkus-workshop-langchain4j rank among GitHub repositories? +

With 108 stars, quarkusio/quarkus-workshop-langchain4j is ranked #6,620 globally across all repositories tracked on GitHubRepo and #529 among Java projects.

What license is quarkus-workshop-langchain4j distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.