Hands-on time – building an LLM application

All the databases we have discussed in this book so far support Generative AI in some form or the other. Either store, manage, and process the data that you end up using for your LLM application or provide remote methods and APIs that directly support LLMs on your data. There are also vector databases. I have explained these briefly toward the end of this chapter.

In this section, we will take a hands-on approach to creating an LLM application in BigQuery with BigQuery Machine Learning (BQML) only using SQL queries, directly on the data stored in a BigQuery table.

Note:

Please be advised that certain features and services described in the following sections may have undergone modifications since the time of drafting. The screenshots may look different from what you see in the book. APIs and versions may have been updated by the time you are reading this. As such, kindly exercise flexibility and adapt your steps accordingly...