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Customer Feedback

We love feedback from you on our products and the problems in your daily work that you would like us to solve. Please describe the challenge you're encountering and your desired outcome. Be as detailed as possible.

For technical issues or bugs please head to Support or our Developer Community. You can assign up to 20 votes in total. Thank you for your feedback.

Status explanation: 'Future Consideration' = Continuing to collect further feedback, not planned at this time. 'Investigating' = Prioritized for deeper customer and feasibility investigations ahead of planning development.

Created by Guest
Created on Sep 25, 2023

k-NN functionality in Find

We're interested in saving "Open AI generated vectors" within Optimizely FIND for use in our site search functionality. We aim to employ cosine similarity between the result vectors and the query vectors when retrieving results from FIND. We're utilizing the Ada embedding model to create content embeddings.

directly saving these embeddings in FIND and also querying them would be amazing