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

# How do I perform feature engineering with Kumo?

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Traditional feature engineering is by nature error-prone and time-intensive, requiring considerable time and effort to understand the problem space and the relevant data. Fortunately, Kumo’s state-of-the-art GNN architecture removes the need for computing feature stores and feature engineering pipelines.

By leveraging the relational structure of the entities in the data to build a single enterprise graph, Kumo is able to achieve a comprehensive view of the dynamic interactions and relationships between the different entities in the raw data, without extensive feature engineering or the use of feature stores.

### Learn More:

* [How do I use a feature store?](/troubleshooting/how-do-i-use-a-feature-store)
* [What model architecture does Kumo incorporate into its GNN design search space?](/troubleshooting/what-model-architectures-does-kumo-incorporate-into-its-gnn-design-search-space)

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* [Table of Contents](#)
* * [Learn More:](#learn-more)