Vertex AI Extensions Examples and Training¶

Two diagrams comparing a RAG extension and custom data analysis application extension. Both have with a user who prompts Vertex AI Extensions which returns a response. The RAG extension queries a data source, the data analysis application extension connects to data, which is fed to Code Interpreter.

This folder contains code examples and notebooks for working with Vertex AI Extensions.

Training Notebooks¶

If you're new to Vertex AI Extentions these notebooks will help you get started.

Data Exploration and Model Training with Vertex Extensions Code Interpreter - Using the Code Interpreter extension to do basic data science tasks like analyzing data, cleaning a dataset, training an ML model, and making predictions with an ML model.
Business Analyst Workflow - Using the Code Interpreter and Vertex AI Search extensions to complete a housing investment opportunities research report for business stakeholders.
Gaming Reviews - Using Vertex AI Extensions to complete a review analysis of a steam game.
Working with Large Datasets Using Code Interpreter and Pandas - Using the Code Interpreter extension with pandas dataframes.
Web Developer Workflow - Using the Code Interpreter extensions to build and deploy a static web application.