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Tue Dec 8 · 1:00 PM SESSION #53267

The Evolution of RAG Context

Brian Sletten
Brian Sletten
FORWARD LEANING SOFTWARE ENGINEER @ BOSATSU CONSULTING
01 / ABOUT THIS SESSION

Retrieval Augmented Generation (RAG) systems have emerged to provide guardrails to spirited non-determinism of unfettered Large Language Models. While useful, they are clearly not enough even in the more advanced configurations of query rewriting, domain/chunk-size alignment, and re-ranking activities.

At the edge of energetic AI wave is a new form of token generation involving concepts and actions that will take things even further.

We will cover:

  • A brief overview of RAG systems and the issues that remain
  • The Sonar Embedding model and how it forms the basis of Large Concept Models (LCMs)
  • The various Action-based embedding models for physically and digitally-embodied agentic systems
  • Use cases that emerge from these advanced, multi-lingual, multi-modal developments in the ever-changing world of generative AI
02 / SESSION DETAILS
FORMAT
90-minute session
All signal.
Zero fluff.
DECEMBER 7 - 10, 2026 · OPAL SANDS RESORT · CLEARWATER, FL