All of my long-form thoughts on data architecture, engineering, agentic trust, and more, collected in chronological order.
v0.5 is the release where semantido stops being a descriptor and starts enforcing it. the three features of this release are grain - at which a concept identifies itself, a separate groundings document splitting meaning from deployment bindings and a linter that runs a sqlglot with ten static checks.
semantido v0.4.1 ships a concept registry: three families of typed edges that let two agents who have never shared a schema disagree safely about what a word means, no OWL, no reasoner, ~100 lines of protocol.
semantido 0.3 ships a first-class time-dimension model, alongside a complete exporter overhaul that serializes one semantic layer as OSI YAML, Markdown, and JSON. This article explains why the two belong in one release: curated metadata is the difference between an AI agent finding eight false time axes or finding the right one.
This article provides Chief Data and Analytics officers with a strategic guide for navigating the crowded semantic layer landscape, demonstrating why a robust definition system is a critical infrastructure dependency for both GenAI and agentic systems across six distinct vendor categories.
A semantic layer translates between the actual semantics of business workflows and data they produce and the LLM "understanding" gained through its training. This translation quality directly determines RAG retrieval accuracy, more so for text2SQL applications.
How I went from GenAI beginner in 2024 to launching semantido, an open-source semantic layer designed for the GenAI era.