Best Practices for Schema Design

This chapter covers best practices for schema design related to your dataset.

Data Model Design

Information Retrieval systems, also known as search engines, are essential for various AI applications such as Retrieval-augmented generation (RAG), visual search, and product recommendation. At the core of these systems is a carefully-designed data model to organize, index and retrieve the information. | Cloud

Data Model with Structs

Modern AI applications, especially in the Internet of Things (IoT) and autonomous driving, typically reason over rich, structured events a sensor reading with its timestamp and vector embedding, a diagnostic log with an error code and audio snippet, or a trip segment with location, speed, and scene context. These require the database to natively support the ingestion and search of nested data. | Cloud