# AI Templates & Workflows

For common use cases, Cluster provides pre-configured templates that combine models, data, and prompts into ready-to-deploy workflows. Templates abstract the underlying infrastructure complexity and allow developers to deploy functional AI applications without configuring each layer individually.

Templates cover patterns including:

* RAG (Retrieval-Augmented Generation) pipelines using Cluster embeddings + datasets
* Classification workflows using fine-tuned models
* Multi-step reasoning chains combining multiple model calls
* Data processing pipelines that clean, transform, and prepare datasets for training

Templates are composable - developers can modify, extend, or combine them to build custom workflows.


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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://cluster-protocol.gitbook.io/whitepaper/core-infrastructure/overview/ai-services/ai-templates-and-workflows.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.