> ## Documentation Index
> Fetch the complete documentation index at: https://basedash.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Recipes

> End-to-end setups for common Basedash architectures, each with a brief you can hand to an AI agent

Recipes walk through a complete setup that spans several Basedash features, such as provisioning organizations through the API, connecting data, and embedding. Each recipe explains the architecture, the decisions you need to make, and the API calls in order.

Every recipe comes in two versions:

* **The recipe page**, written for the person designing the setup.
* **An agent brief**, a plain Markdown spec written for AI coding agents such as Claude Code, Cursor, or Codex. Point your agent at its URL and ask it to build the scripts. The brief lists the inputs to collect, the rules the code must follow, and how to check the result.

> [!TIP]
>
> Any docs page is available as Markdown by adding `.md` to its URL, and the
> full index is at [`/docs/llms.txt`](https://www.basedash.com/docs/llms.txt).
> Agent briefs go further: they're written as instructions, not explanations.

## Available recipes

> **[Multi-tenant embedding](https://basedash.com/docs/recipes/multi-tenant-embedding.md)**
>
> One Basedash organization per customer, provisioned and kept in sync through
> the API, with each tenant's data isolated in a shared warehouse.


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