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Kacper ŁukawskiandDavid Myriel
fc2f0305fb
* First draft of the Food Discovery demo article * Convert icon to white * Add "Positive and negative feedback" paragraph * Put a note on using cosine distance * Add a picture after the first paragraph * Crop the image * Apply suggestions from code review Co-authored-by: David Myriel <davidmyriel@gmail.com> * Apply changes requested in review * Add architecture diagram * Add CLIP model diagram * Add negated vector * Add recommendation code sample * Add random points image * Change random results image * Add link to Qdrant Cloud * Move recommendation results image to top * Add another link to repo and Discord * Change negated vector image * Adapt cosine distance description * Add link to online demo * Update diagrams * Apply suggestions from code review Co-authored-by: David Myriel <davidmyriel@gmail.com> * Add link to docs about importing a snapshot * Change social preview image * Change social preview image * Adapt weights * Add new food discovery demo to "Use cases" --------- Co-authored-by: David Myriel <davidmyriel@gmail.com>
527 B
527 B
draft, title, short_description, description, preview_image, link, weight, sitemapExclude
| draft | title | short_description | description | preview_image | link | weight | sitemapExclude |
|---|---|---|---|---|---|---|---|
| false | Food Discovery | Qdrant Food Discovery Demo recommends more similar meals based on how they look | This demo uses data from Delivery Service. Users may like or dislike the photo of a dish, and the app will recommend more similar meals based on how they look. It's also possible to choose to view results from the restaurants within the delivery radius. | /demo/food-discovery-demo.png | https://food-discovery.qdrant.tech/ | 2 | True |