Xorq documentation

Getting started

New to Xorq? Start here to build your first pipeline.

Speed up workflows with automatic caching

Defer query execution

Master deferred execution

Install Xorq

Get Xorq running on your machine

Introduction

Learn what Xorq is and why it exists

Quickstart

Get a first taste of Xorq

Switch between backends

Run expressions on any backend

Train models, split data, and deploy predictions with Xorq’s ML workflow.

Compare models systematically

Deploy your first model

Deploy models to production

Split data for training

Split data properly

Train your first model

Start your ML journey

Call LLMs, build MCP tools, and process data with AI

Query across engines, write UDFs, and build analytics workflows

Production-ready patterns for deploying and scaling your pipelines

Deep dives into deferred execution, caching, and architecture

Every command you need to build, run, and serve pipelines

Full reference for Xorq’s Python API

Resolve common issues and errors when using Xorq

Version history, breaking changes, and new features