Hawk AI Overview
Concept and Visual Search
Descriptions and other fields are converted into vectors using a text embedding. The url of the image is used to create a vector for visual search. This allows for visitors to submit questions and/or to search with an image to find a product.
Smart Response
When the appropriate content is returned, it is then run through a prompt that explains to only answer the question with the content in the index that was returned and then provide the appropriate response to the question. If the question can not be handled by the Smart Response process with a high enough level of confidence, then no response is provided. The additional info and links would only point to information in the index.
Landing Pages and Recommendations
Just for demo purposes, we added some examples based on basic settings in the dev environment.
Initial GenAI Analysis
This can be helpful to enrich content in the indexing feed if necessary. The fields in the indexing feed can be sent to a AI Agent for enhancing the description or other fields in HawkSearch. This is not necessary for this implementation – it’s only an option.