What type of data does the primary use of retrievers in Data Cloud focus on?

The primary focus of retrievers in Data Cloud is on relevant data from vector databases. This kind of data representation allows for efficient searching and retrieval of information, particularly in the context of AI and machine learning applications. Vector databases are designed to handle high-dimensional data, making them ideal for storing and querying complex datasets, such as those generated for tasks involving natural language processing or image recognition.

This context highlights the importance of leveraging the unique capabilities of vector databases to yield meaningful and relevant results in data queries and analytics, which enhances decision-making and insights drawn from the data. By concentrating on relevant data from these specialized databases, the retrievers can provide users with targeted information that aligns closely with their needs and operational goals.