Complementing LLM with Agentic AI: A Quarkus Integration Guide

Übersicht

Explore the integration of LLMs with agentic AI through Quarkus, focusing on patterns like RAG and guardrails to create more reliable and auditable AI applications with practical examples.

Lehrplan

• Introduction to LLM and Agentic AI
Overview of Large Language Models (LLMs)
Definition and role of Agentic AI in systems
• Fundamentals of Quarkus
Quarkus Framework Basics
Benefits of Using Quarkus for AI Integrations
• Integration of LLMs within Quarkus
Setting up a Quarkus Project
Implementing LLM APIs in Quarkus
Handling LLM output in Quarkus
• Patterns in AI Integration
Retrieval-Augmented Generation (RAG) pattern
Practical implementation of RAG within Quarkus
• Implementing Guardrails in AI Systems
What are Guardrails in AI?
Strategies for Guardrail Implementation in Quarkus
Use Cases and Examples of Guardrails
• Ensuring Reliability and Auditability
Techniques for Ensuring AI Reliability
Auditability Best Practices in AI Systems
• Practical Examples and Case Studies
Step-by-step Guide to Building a Reliable AI Application
Case Study: A Comprehensive Example with Quarkus
• Summary and Best Practices
Review of Key Concepts
Best Practices for Integrating LLM and Agentic AI with Quarkus
• Additional Resources and Further Reading
Suggested Books and Articles
Online Courses and Tutorials

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Fachgebiete

Programming