[ The zaimler blog ]
Field notes on context for enterprise AI
zaimler provides the runtime context layer between enterprise data and enterprise AI. Dive in to learn how accuracy beats similarity, and how agents survive production.
When Semantic Embeddings Break: Why No Cosine Threshold Will Save You
A cosine score ranks related terms. It cannot decide which ones are the same.
Amer Alsabbagh
Sep 14, 2026 · 25 min read


Five reasons data catalogs can't be a context layer
Data catalogs were built for design-time discovery & governance. AI agents need runtime context. Five structural reasons the catalog rebrand won't hold.
Aug 25, 2026 · 9 min read

Two Summits, Same Blueprint
What Snowflake and Databricks announced in June 2026, and the five mechanisms behind any "context layer" claim
Aug 17, 2026 · 9 min read

Inverting the semantic layer
Every stack already has a semantic layer that describes data and leaves meaning to be guessed at per query; inverting it changes what's answerable.
Aug 14, 2026 · 11 min read

Your best questions aren't retrieval questions
Retrieval assumes the answer is sitting somewhere, waiting to be found. For the questions enterprises most want answered, it isn't.
Aug 7, 2026 · 15 min read

Most "Ontologies" Don't Reason. Build Yours in the Right Order Anyway.
An opinionated maturity path for ontology-like structures in the agentic era
Aug 7, 2026 · 9 min read