TRIEDATUM
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Program 1 of 52-Day BootcampArchitects & Technical Leaders

AI Context Layer & Semantic Layer Bootcamp

Cut AI Token Costs Up to 99% With a Real Semantic Layer

Hands-on Timbr lab where architects build the ontology and knowledge graph that make AI answers cheaper, deterministic, and auditable.

OntologiesKnowledge GraphsCubesHands-On LabAI-Ready Data
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WHY CONTEXT LAYER?

Context Determines AI Cost & Accuracy

Source: Gartner Data & Analytics Summit, Feb 2026

60–99%
Token cost savings with a strong context layer in place

A $100K LLM spend can drop to roughly $30K with a properly built semantic layer. (Gartner, Feb 2026)

✗ Without Context Layer

  • LLM probes data on the fly to build context
  • Misses relationships, hallucinations spike
  • Burns 60–99% extra tokens with every retry
  • Wrong answers cost far more than tokens
  • Undetected hallucinations reach production deliverables

✓ With Context Layer

  • Semantically relevant entities & relationships injected
  • Explicit meaning eliminates guessing by the LLM
  • Compressed context means 60–99% fewer tokens
  • Hallucinations dramatically reduced
  • Deterministic, governed, auditable query results

ARCHITECTURE COMPARISON

Architecture Styles & AI Behavior

#ARCHITECTURE STYLEAI BEHAVIOR
01Raw RAG Only“Search then guess”
02Semantic Layer“Search with business meaning”
03Knowledge Graph Layer“Reason over explicit relationships”
04Ontology + Agent Layer“Goal-directed semantic reasoning”

CURRICULUM OVERVIEW

What You'll Cover: Day by Day

  1. PRE-WORK (OPTIONAL) · 8 HOURS · MUST COMPLETE 2 WEEKS PRIOR

    Client-Specific Use Case Research

    Identify your company's specific use case and relevant data assets. This optional pre-work ensures Day 1 hits the ground running with real context from your environment.

  2. DAY 1 AM · THEORETICAL FOUNDATION

    Semantic Layers, Ontologies, Cubes & Knowledge Graphs

    Build the mental model: core concepts, principles, and a full tools landscape overview. Understand why semantic layers exist, how ontologies structure knowledge, what cubes add, and where knowledge graphs fit into an AI-ready architecture.

  3. DAY 1 PM · DEEP DIVE & LIVE DEMO

    Tool Comparison & Timbr Deep Dive

    Side-by-side comparison of leading platforms, including Timbr, Stardog, Microsoft Fabric IQ, and others. A practitioner-led Timbr deep dive concludes with a live demonstration so you see the technology in action before building with it.

  4. DAY 2 · HANDS-ON LAB WITH TIMBR

    Build Ontology & Knowledge Graph, Measure the Difference

    Roll up your sleeves: build an ontology and knowledge graph hands-on using Timbr against real data. Then compare AI responses with vs. without the knowledge graph to quantify the accuracy and token savings yourself.

TimbrStardogMicrosoft Fabric IQOntology BuildKnowledge GraphHands-On Lab

LEARNING OUTCOMES

What You'll Walk Away With

By end of Day 2, every participant can:

  • Explain semantic layers, ontologies and knowledge graphs.
  • Select the right semantic-layer tools.
  • Build an ontology and knowledge graph using Timbr.
  • Demonstrate measurable AI improvements.
Program 1 of 5Ontology DesignKnowledge Graph Build

Cut Your Token Bill and Your Hallucination Rate in 2 Days

Register Now →