Loomkindle Docs
Everything you need to set up semantic models, configure ETL pipelines, and use agentic routing in your data stack.
Quickstart
Connect your first data source and define a semantic model in under 10 minutes.
Get started →Semantic Models
YAML-based metric definitions, entity relationships, and dimension tables.
Learn more →API Reference
REST API endpoints for pipeline management, metric queries, and schema introspection.
View API →Connectors
Pre-built connectors for Snowflake, BigQuery, Redshift, DuckDB, Postgres, and more.
Browse connectors →Agentic Routing
How Loomkindle's agent detects schema changes and adapts pipelines automatically.
Understand routing →CLI Reference
Complete reference for the lmk CLI — init, validate, run, deploy.
Semantic Models
A Loomkindle semantic model is a YAML file that defines metrics, entities, and dimensions in a single place. Models live in your git repository under models/ and are validated on commit.
version: 1
semantic_model:
name: revenue
source: orders
metrics:
- name: total_revenue
type: sum
expr: order_amount_usdPipeline Configuration
ETL pipelines are configured as YAML files under pipelines/. Each pipeline specifies a source connector, optional transform chain, and destination.