Full RAG: A Modern Architecture for Hyperpersonalization

Achieving next-level AI-powered personalization with traditional RAG (Retrieval-Augmented Generation) alone is tough, especially when it comes to adding real-time and user-specific context. Mike Del Balso, CEO and Co-Founder of Tecton, has a better way: In this talk, he introduces "Full RAG", an evolution of the traditional RAG architecture that incorporates real-time and user-specific data to deliver hyper-personalized product experiences.

By enriching RAG-retrieved candidates with real-time user data and contextual signals, Full RAG enables AI models to generate tailored recommendations with Large Language Models (LLMs) that adapt to users' evolving preferences and behaviors. Using a hypothetical travel application as an example, Mike will demonstrate how this new architecture can help your team build products with personalized experiences like never before.

To make building these experiences as simple as possible, Mike will introduce Tecton's feature platform. He'll demonstrate how Tecton makes it easy to bring batch, streaming, and real-time data to LLMs in production, enabling your team to deliver hyper-personalized recommendations in customer-facing AI applications.

Key takeaways:

• Learn how to make LLM applications more personalized by enriching context with dynamic user signals.
• Discover a new architecture that combines predictive and generative AI to deliver hyper-personalized experiences.
• Learn how to integrate and productionize real-time and streaming data into LLM applications for seamless deployment.