# How does it work?

In Katara, agents, workflows, and human oversight work together to create a powerful, flexible system for handling a wide range of tasks with precision and adaptability. **Agents** are specialized components built on large language models (LLMs), empowered by **RAG (Retrieval-Augmented Generation)** to pull in up-to-date, domain-specific information. These agents handle individual tasks within a broader workflow.

**Workflows** connect these agents into structured, multi-step processes that automate complex actions and interactions. For example, in a support workflow, one agent might respond to basic queries while another escalates specific cases, each performing a distinct role within the sequence.

**Human oversight** remains central, ensuring quality and contextual accuracy, handling unexpected scenarios, and providing feedback that helps agents improve over time. This combination of automated intelligence, organized workflows, and human guidance makes Katara AI an adaptable, scalable solution that can handle both routine and complex challenges with reliability and depth.


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# Agent Instructions: 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://docs.katara.ai/about/getting-started/how-does-it-work.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.