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Tagged: semantic-layer
Your Semantic Model Is the API: Giving Agents Certified Metrics
Why AI agents invent private definitions of revenue and inventory, and how a governed semantic model with grain, owners and refusals gives them one contract.
22 min readAgentic Analytics Is More Than Text-to-SQL: Lessons From Anthropic
What Anthropic's self-service analytics post says about semantic layers, skills, evals and data foundations, and why text-to-SQL alone gives a false sense of precision.
17 min readFixing RAG With an Ontology and Knowledge Graph in Semiconductor Docs
Semiconductor EDA docs got an RDF/OWL ontology, a Neo4j knowledge graph and ontology-constrained retrieval, cutting RAG follow-up questions by 30 percent.
8 min readWhy AI Analytics Agents Need a Semantic Layer Instead of Raw SQL
Text-to-SQL on raw tables invents metrics and skips access rules. A semantic layer such as Cube, served over MCP, gives AI agents governed business meaning.
12 min readAgents Need Interpretable Meaning: Semantic Layers, Ontologies and Governed Metrics
Conversational BI fails when meaning is unresolved. What text-to-SQL studies show, and how a semantic layer, an ontology and canonical IDs make answers safe.
15 min readAgentic Analytics in Practice: A Slackbot, a Semantic Layer and Buy vs Build
Agentic analytics at a tech company: a talk-to-your-data Slackbot, a semantic layer that had to scale, the call to buy Omni, and why adoption mattered most.
8 min readOntology or Semantic Layer? What an AI Agent Needs From Both
How ontologies and semantic layers differ, what fails when only one exists, where knowledge graphs fit, and a practical order for building the context layer.
9 min readWhy RAG Isn't Enough: A Semantic Layer for Graph, SQL and Vector Queries
RAG breaks on multi-hop, numeric and ambiguous enterprise questions. A semantic layer handles decomposition, routing and schema mapping, with Apache Ossie for portability.
8 min readSemantic Layer Generator: An Agentic Pipeline That Designs Wide Tables
A semantic layer generator: a five-phase agentic pipeline turns a normalized schema and business questions into Snowflake wide-table views, with MCP access.
6 min read
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