Author
Harshit Chouhan
Writes on the practical edges where semantic execution meets the rest of the AI stack - RAG, self-serve, semantic search, and the control plane.
Harshit works at Colrows on the boundary problems - the places where the semantic execution layer meets agents, retrieval pipelines, and the analytics tools enterprises already have. He writes about why RAG is necessary but not sufficient for enterprise AI, how self-serve analytics survives a CISO review, and why the control plane has to enforce policy at compile time rather than after a query has run.
Posts follow the Colrows editorial policy.
Areas of focus
RAG vs semantic layer
Self-serve analytics
Semantic search
Semantic control plane
Compile-time governance
Posts
- The Semantic Layer Evaluation Checklist: 40 Questions to Ask Before You Buy12 Jun 2026
- Looker Pricing in 2026: Editions, Gemini Tokens, and What Contracts Actually Cost12 Jun 2026
- dbt Semantic Layer Alternatives for Multi-Warehouse Estates (2026)12 Jun 2026
- dbt Semantic Layer vs Cube vs AtScale: Choosing an Enterprise Semantic Layer12 Jun 2026
- The Text-to-SQL Accuracy Cliff: 91% on Benchmarks, 21% in Production11 Jun 2026
- The Build vs. Buy Decision for Enterprise Semantic Layers: What Teams Get Wrong7 Jun 2026
- RAG vs Semantic Layer: Why Enterprise AI Agents Need Both10 May 2026
- The Semantic Control Plane: Compile-Time Governance for Enterprise AI10 May 2026
- Semantic Search on Corporate Data2 Mar 2025
- Self-Serve Analytics: Empowering Business Teams Without Losing Control09 May 2025 (updated May 2026)