Data model design considerations for applications that use LLMs
The best-suited data modeling techniques and principles for data model design for applications that use LLMs will vary depending on the specific application. However, some general considerations include (but are not limited to) the following:
- The type of data that will be used: The data modeling technique that is chosen will need to be able to represent the different types of data that will be used in the application.
- The scalability of the app: The data modeling technique that is chosen will need to be able to scale as the app grows. For example, if the app is expected to have a large number of users and growing attributes, then a NoSQL database may be a better choice than a relational database.
- Data security and privacy: The data modeling technique that is chosen will need to be able to protect the data from unauthorized access. For example, the data may need to be encrypted or stored in a secure location...
