What's new in Colrows.

Multi-vector embeddings & expanded dialect support

Core upgrade: Semantic concept lookup now operates on multi-vector embeddings per entity (definition, usage, combined) instead of single-vector similarity. Dialect compilation extends to ClickHouse and Trino federated query engines, maintaining determinism across a wider ecosystem.

Performance & compiler optimization

• Compile-time policy evaluation: up to 3× faster on graphs with 10K+ entities through optimized constraint resolution.

Fixes & stability

• Resolved edge case in join path proof when a metric crosses 4+ datasets with ambiguous cardinality.

Compile-time governance, GA

Core upgrade: Governance is no longer a runtime filter bolted onto query execution. RBAC and ABAC policies are now materialized into the execution plan during compilation. A persona's allowed subgraph is resolved before any SQL is generated, unauthorized queries fail compilation (loud, safe, auditable), and no warehouse resources are spent on queries that should never have run.

Governance & security

• Row and column-level predicates compiled per persona.
• Point-in-time reproducible audit log: re-run any historical query with the exact definitions and policies in force.

Fixes & stability

• Query-explosion guards: ambiguous joins now fail compilation with clear, actionable error messages.

Conversational AI Analyst

Core upgrade: Natural-language questions now compile through the semantic graph into deterministic SQL with full governance applied. Every answer ships with its reasoning chain (entities resolved, metrics matched, join paths proven, filters applied, policies evaluated), not a probabilistic guess. Slack integration brings governed analysis into team workflows.

Performance & compiler optimization

• Stateful conversational scope: follow-ups resolve against the same graph version and policy context, eliminating semantic drift mid-conversation.

Semantic Studio

Core upgrade: A visual editor for the semantic graph brings definition, relationship mapping, and governance rule authoring into a single plane. Multi-scope architecture (global to datastore to persona to user) allows semantic inheritance and override at every level, enabling both centralized governance and localized customization.

Performance & compiler optimization

• Autonomous maintenance: drift detection and conflict resolution run continuously across thousands of entities, keeping the semantic graph current without manual intervention.
• Versioned graph with structural diffing: every change is tracked, enabling rollback and point-in-time reproducibility.

16+ data sources & dialect-perfect SQL

Core upgrade: Support for Snowflake, Databricks, BigQuery, Redshift, Postgres, MySQL, and 10+ additional data sources. The compiler produces dialect-perfect SQL for each engine (window functions, CTEs, aggregation syntax, quoting rules) while guaranteeing deterministic semantics across all backends. No data movement required.

Performance & compiler optimization

• Inline visualization and query-plan introspection: inspect compiled SQL, join cardinality, and estimated costs before execution.

Colrows Semantic Execution Layer - GA

Core upgrade: The Colrows semantic execution runtime launches with four computational domains: intent parsing, semantic resolution, constrained planning, and governed execution. Each stage is isolated to ensure determinism, reproducibility, and independent scalability. The foundation is a typed, multi-scope, versioned knowledge graph encoding entities, metrics, relationships, policies, personas, and scopes as first-class graph objects. The initial AI Data Analyst Agent consumes this graph, compiling natural-language questions into deterministic, auditable SQL.