fetching-dbt-docs

To search dbt documentation, use an index-based search via `llms.txt` or a script to query `llms-full.txt`. This locates specific features, commands, and concepts within dbt Cloud, dbt Core, and the dbt Semantic Layer.

Fetch specific dbt Core documentation pages through direct URL retrieval by appending `.md` to standard dbt documentation URLs. This instantly retrieves the exact LLM-friendly markdown content for the requested page.

Find information on configuring incremental models in dbt documentation by using the full-text search script. This queries the comprehensive content of dbt Cloud, dbt Core, and the dbt Semantic Layer docs to retrieve exact pages explaining incremental strategies.

Yes, the dbt documentation search supports dbt Cloud and dbt Core. It streamlines retrieving relevant, up-to-date information across dbt Cloud, dbt Core, and the dbt Semantic Layer using direct page fetching and index-based searching.

Use the full-text search script for dbt documentation when you need comprehensive searches across entire content. It utilizes `llms-full.txt` to query full documentation text, which is ideal when a standard index-based search via `llms.txt` is insufficient.