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Article about Food Discovery demo (#252)
* 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>
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There are multiple ways to discover things, text search is not the only one.
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In the case of food, people rely more on appearance than description and ingredients.
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So why not let people choose their next lunch by its appearance, even if they don't know the name of the dish? We made a [demo](https://qdrant.to/food-discovery) to showcase this approach.
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So why not let people choose their next lunch by its appearance, even if they don't know the name of the dish? We made a [demo](https://food-discovery.qdrant.tech/) to showcase this approach.
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