Vectorize data intro
We'll use AWS Titan multimodal model when we're later vectorize our product data. Hence, we'll need access to Amazon Bedrock, which we'll cover later in this section.
Amazon Titan Multimodal Embeddings G1 model is a multimodal embedding model that converts both product texts and images into vectors.
Why use AWS Titan?​
A multimodal model allows us to process a query like "red heels" and match it to not only product descriptions but also actual images of red heels in the database.
By combining text and image data, the model helps the AI agent provide more relevant and visually aligned recommendations based on the customer's input.
AWS Titan is a multimodal model, accepting images, text or both images and text
Let's start by reading our product data in the next lesson.