> For the complete documentation index, see [llms.txt](https://help.tellius.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.tellius.com/data/kaiya-architect-agent.md).

# Kaiya Architect Agent

Setting up a Business View is normally a multi-step, multi-module workflow. You connect to a data source, profile the tables, configure joins in the data preparation interface, create calculated columns, enrich metadata, and validate the result. Each step has its own screen, and the process can take anywhere from 10 to 25 hours depending on schema complexity, particularly when derived tables, custom formulas, and thorough validation are involved.

**Kaiya Architect** collapses this entire workflow into a single Kaiya conversation. It is a Kaiya agent that creates, edits, and validates Business Views conversationally from raw data sources. The agent handles schema analysis, join inference, calculated column creation, metadata enrichment, and pre-publish validation without requiring you to navigate between modules or write SQL.

#### Two modes of operation

Kaiya Architect supports two starting points. You can create a new Business View from scratch by selecting tables from a connected data source, or you can open an existing Business View for editing. When editing an existing BV, the agent loads the current YAML configuration and makes it available for conversational modification, including adding tables, adjusting joins, creating columns, or running validation.

{% hint style="info" %}
Kaiya Architect supports live in-database table discovery across all supported JDBC data sources (Snowflake, Redshift, PostgreSQL, MySQL, SQL Server, Oracle, BigQuery, Hive, Databricks/Delta Lake, Synapse, Dremio, Teradata, and Exasol). Both **live and in-memory** Business View creation are supported on these sources. Datasets already loaded into Tellius can also be selected directly.
{% endhint %}


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://help.tellius.com/data/kaiya-architect-agent.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.