Semantic Layer: Make Your Data Speak with AI Without Hallucinations
summary
Shows how to avoid LLM hallucinations on databases by inserting a semantic layer that defines metrics, relationships and business logic in a machine-readable form. Demonstrates building this architecture step-by-step using tools like dbt Semantic Layer, Cube.dev or custom approaches, then connecting it to an LLM to turn fuzzy business questions into validated SQL and reliable results.
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chapters (14)
- 0:00Semantic layer intro
- 1:30AI limits in BI
- 5:20LLM failures without context
- 7:06Semantic model definition
- 9:55Semantic layer tools
- 12:00Semantic layer architectures
- 14:49Demo: LLM without semantic layer
- 17:18Demo: LLM with semantic layer
- 21:14Demo: Metric API and agent
- 22:36Demo: Agent iterations
- 31:56Q&A
- 35:31Best practices
- 39:21User benefits
- 40:23Future outlook
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