Tutorials

There's no better way to learn than by doing! These examples get you started with creating collections, ingesting data, and then searching through it on the Vantage Platform.

📖 Tutorial: Basic semantic search

In this tutorial, we'll build a search index to enable rich semantic search for a set of furniture products, using their text descriptions. We will load and search furniture listings crawled from various sellers on Etsy. This same process can be used to upload your own product catalog to enable rich semantic search on your catalog.

By the end of this tutorial, we will have a furniture collection available via an API and use semantic search queries to find items in the collection.

Check out the basic semantic search tutorial.

Alternatively, check out the basic semantic search notebook, using the Vantage Python SDK.

📖 Tutorial: Basic embedding search

In this tutorial, we'll build a search index to enable rich semantic search across a set of furniture products, using both product images and text descriptions, with the help of the OpenAI CLIP model. We will load and search furniture listings sourced from various sellers on Etsy. This same process can be used when you want to use a custom embedding model that we don't support natively.

Check out the basic embedding search tutorial, using the Vantage Console UI.

📚 Guide: Getting started with the Vantage Platform

This guide is your introduction to using the Python SDK for the Vantage Platform. It's divided into easy-to-follow sections:

• Client initialization notebook to help you get set up.
• Management API notebooks for managing accounts, collections, and keys.
• Search API notebooks for exploring various search options.

Check out getting started with the Vantage Platform.