Enhance your GenAI chatbot with the power of Agentic RAG and F5 platform

Introduction

This is the GenAI demo series, where we focus on securing, delivering, and optimizing modern GenAI apps with F5. In my first demo video, I demonstrated how Retrieval-Augmented Generation (RAG) works and highlighted its value for an organization. This video will build upon that foundational understanding by focusing on enhancing and supercharging your GenAI chatbot with the power of Agentic RAG (Agent-based RAG). Learn how F5 platform makes it ridiculously easy to achieve your organization's AI journey. I will also touch on how you can leverage GPUaaS or AI Factory providers to accelerate your AI strategy.

What is an Agentic RAG?

Agentic RAG is an advanced AI framework that extends traditional Retrieval-Augmented Generation (RAG) systems by integrating enhanced decision-making capabilities. Unlike standard RAG models, which focus primarily on retrieving context, Agentic RAG incorporates reasoning and autonomy. This allows the AI system to make decisions and take actions based on retrieved data to achieve predefined goals. By combining RAG with agent-based tools, it creates a more dynamic and intelligent system.

Agentic RAG Pipeline

Architecture

Both Agentic RAG pipeline will be discussed and explained in the demo video.

• Agentic RAG Demo

• Security - Protecting your GenAI Chatbot (coming soon)
• Delivery & Optimization - Digital Resiliency and traffic delivery (coming soon)
• Behind the scene of Agentic RAG (coming soon)