The Problem: Enterprise artificial intelligence initiatives are stalling. Organizations are quickly discovering that standard Retrieval-Augmented Generation (RAG) models fail catastrophically when built atop unstructured, ungoverned data.
The Agitation: Throwing a larger, more expensive Large Language Model at a mountain of disorganized PDFs and legacy database tables does not fix AI hallucinations. It merely accelerates the production of confident, factually incorrect "generic junk." Without a rigorous "Knowledge Architecture" that enforces strict permissions, version control, and precise metadata, AI agents remain permanently stuck in the experimental sandbox, deemed too risky for actual production deployment.
The Solution: This session introduces a state of the art architectural solution for Drupal: The Augmented Knowledge Base Agent. You will learn how to transcend basic RAG by combining Drupal's uncompromising structured governance (acting as the newly envisioned Context Control Center) with the high-performance cognitive retrieval of the newly generally available Elasticsearch Agent Builder. We will demonstrate how to seamlessly bridge these two powerful ecosystems using open-source solutions to deliver safe, autonomous, multi-step reasoning capabilities directly into your enterprise workflows.