---
title: Introduction
description: How KTX gives analytics agents trusted context for warehouse work.
---

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    <h1
      className="text-4xl font-extrabold tracking-tight lg:text-5xl"
      style={{
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    >
      Make analytics context{'\n'}usable by agents
    </h1>
    <p className="mt-4 text-lg text-fd-muted-foreground max-w-2xl" style={{ lineHeight: '1.7' }}>
      KTX turns warehouse metadata, semantic definitions, and business knowledge
      into reviewable project files that agents can use while planning, querying,
      and updating analytics work.
    </p>
  </div>
  <div className="flex flex-wrap gap-3">
    <a
      href="/docs/getting-started/quickstart"
      className="inline-flex h-10 items-center rounded-lg bg-fd-primary px-5 text-sm font-medium text-fd-primary-foreground transition-colors hover:opacity-90"
    >
      Get Started
    </a>
    <a
      href="/docs/concepts/the-context-layer"
      className="inline-flex h-10 items-center rounded-lg border border-fd-border bg-fd-background px-5 text-sm font-medium text-fd-foreground transition-colors hover:bg-fd-muted"
    >
      The Context Layer
    </a>
    <a
      href="/docs/guides/building-context"
      className="inline-flex h-10 items-center rounded-lg border border-fd-border bg-fd-background px-5 text-sm font-medium text-fd-foreground transition-colors hover:bg-fd-muted"
    >
      Building Context
    </a>
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## Who KTX is for

KTX is built for analytics engineers and data teams who want data agents to
work on real analytics systems — not just generate one-off SQL.

Use KTX when you want agents to:

- **Generate SQL** from approved measures and joins
- **Repair semantic definitions** through reviewable diffs
- **Explain metric provenance** with warehouse evidence
- **Work alongside** dbt, LookML, MetricFlow, Looker, Metabase, and modern BI platforms

Works with PostgreSQL, Snowflake, BigQuery, ClickHouse, MySQL, and SQL Server.

## Explore the docs

<Cards>
  <Card title="Quickstart" href="/docs/getting-started/quickstart">
    Set up KTX and build your first context in under 10 minutes.
  </Card>
  <Card title="Concepts" href="/docs/concepts/the-context-layer">
    Understand what a context layer is and why agents need one.
  </Card>
  <Card title="Guides" href="/docs/guides/building-context">
    Hands-on workflows for scanning, ingesting, writing, and serving.
  </Card>
  <Card title="CLI Reference" href="/docs/cli-reference/ktx-setup">
    Complete flag and subcommand reference for every KTX command.
  </Card>
</Cards>

## Agent usage notes

| Agent task | Read next |
|------------|-----------|
| Discover machine-readable docs | [AI Resources](/docs/ai-resources) |
| Learn how a coding assistant should approach KTX | [Agent Quickstart](/docs/ai-resources/agent-quickstart) |
| Set up a new KTX project | [Quickstart](/docs/getting-started/quickstart) |
| Explain what problem KTX solves | [The Context Layer](/docs/concepts/the-context-layer) |
| Scan a database and ingest metadata | [Building Context](/docs/guides/building-context) |
| Edit semantic sources or wiki pages | [Writing Context](/docs/guides/writing-context) |
| Look up exact command flags | [CLI Reference](/docs/cli-reference/ktx-setup) |
