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Why use Java for AI?

Why use Quarkus for AI-Infused Applications

Quarkus is ideal for AI applications due to its performance, agility, and developer experience. It offers native Generative AI integration via LangChain4j, supporting declarative AI services, various LLMs, and advanced prompt engineering. It also handles predictive AI and data pipeline automation with ML toolkits for scalable ETL and embedding workflows. Quarkus's "AI-Enhanced Developer Experience" provides fast startups, low memory, and a reactive core for cloud-native AI. It boosts developer velocity with live coding, a unified Java stack, and robust observability/security for reliable AI services.

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Learn more about using Quarkus for AI

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Learn more about using Quarkus for AI

diff --git a/ai-overview.md b/ai-overview.md index 60fc396e09..f2c426ba5e 100644 --- a/ai-overview.md +++ b/ai-overview.md @@ -1,6 +1,6 @@ --- layout: ai-overview title: Artificial Intelligence (AI) -subtitle: They why and how of using Java with Quarkus for AI. +subtitle: The why and how of using Java with Quarkus for AI. permalink: /ai/ --- \ No newline at end of file