Secure, Deliver and Optimize Your Modern Generative AI Apps with F5
In this demo, Foo-Bang Chan explores how F5's solutions can help you implement, secure, and optimize your chatbots and other AI applications. This will ensure they perform at their best while protecting sensitive data. One of the AI frameworks showed is Enterprise Retrieval-Augmented Generation (RAG). This demo leverages F5 Distributed Cloud (XC) AppStack, Distributed Cloud WAAP, NGINX Plus as API Gateway, API-Discovery, API-Protection, LangChain, Vector databases, and Flowise AI.Enhance your GenAI chatbot with the power of Agentic RAG and F5 platform
Agentic RAG (Retrieval-Augmented Generation) enhances the capabilities of a GenAI chatbot by integrating dynamic knowledge retrieval into its conversational abilities, making it more context-aware and accurate. In this demo, I will demonstrate an autonomous decision-making GenAI chatbot utilizing Agentic RAG. I will explore what Agentic RAG is and why it's crucial in today's AI landscape. I will also discuss how organizations can leverage GPUaaS (GPU as a Service) or AI Factory providers to accelerate their AI strategy. F5 platform provides robust security features that protect sensitive data while ensuring high availability and performance. They optimize the chatbot by streamlining traffic management and reducing latency, ensuring smooth interactions even during high demand. This integration ensures the GenAI chatbot is not only smart but also reliable and secure for enterprise use.Global Live Webinar (10/30):Secure and Expedite RAG AI Deployments with F5 and NetApp
Secure and Expedite RAG AI Deployments with F5 and NetApp This webinar event is open to all F5 users regardless of geographic location. Date: Wednesday, October 30, 2024 Time:10:00am PT | 1:00pm ET Speakers: Hunter Smit, Sr. Product Marketing Manager, F5 Steve Gorman, Solutions Architect, Technology Alliances, F5 What's the webinar about? Join F5 for an interactive webinar to dive into unlocking the potential of artificial intelligence using retrieval-augmented generation (RAG.) RAG is becoming a popular and cost-effective way to use proprietary corporate data to enhance the use of large language models (LLMs) to deliver timely, precise, and context-aware AI model outputs. During this webinar hosted by F5, discover how F5 and NetApp's growing technology alliance partnership can enable your organization to turn NetApp-stored information into a strategic AI advantage. Don't miss out on this opportunity to explore how RAG and the F5 and NetApp technology alliance partnership can revolutionize your AI deployments. Register now! Key Learning Objectives: How to combine a pre-trained model with proprietary organizational data for more accurate and contextually aware responses Explore how RAG incorporates organizational data to complement models and deliver better inference Enabling high-performance data mobility and security for AI workloads anywhere with F5 and NetApp To register, click here If you can't attend the live webinar, please register anyway, and we will send you a link to watch the session later.
