* 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"
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Co-authored-by: David Myriel <davidmyriel@gmail.com>
* Google Summer of Code 2023 - Web UI for Visualization and Exploration
* Key Learning Points highlight key
* proofreading and editing
Excellent work @kartik-gupta-ij, we are very proud of you!.
* Page Images added
* upd preview
* upd order and date
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Co-authored-by: David Myriel <davidmyriel@gmail.com>
Co-authored-by: generall <andrey@vasnetsov.com>
* New search-as-you-type article
* fix image links
* add benchmark before
* fix some code and verbiage, add final benchmark table
* fix link and table
* stray period removed
* fix typos
* grammar and capitalization
* one more code fix
* one more code fix
* explain recommend more, add benchmark results bar chart
* extend the article with info about batching and concurrent requests
* sum up
* add code link
* re-add deduplication
* aside on benchmark interpretation, thanks to @generall
* fix missing " in json
* review changes for sayt
* remove stray quotation marks
* upd images + minor renaming
* Update qdrant-landing/content/articles/search-as-you-type.md
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Co-authored-by: generall <andrey@vasnetsov.com>
* document lookup in groups API
* fix image link
* fix image + as of
* add intro, link to groups api
* fix param names
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Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com>
This integration doc is built on top of our basic integration and shows how to do an image search based on a common dataset. I wonder if we should have our own demo, though.
- This tutorial is based on the Neural Search Article written by generall.
- The document introduces a new simple format for short tutorials.
- The aim of the tutorial is to let the user try things out quickly and with minimal interruption.
