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Code Issues Packages Projects Releases Wiki Activity

Article: New recommendation API (#339)

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* Initial draft of the new recommendation API article

* Initial draft of the new recommendation API article

* Add more description on HNSW

* Restructure the old API recap

* Add an example of the API request

* Add images

* Fix preview dir

* Fix grammar

* Add the first example

* Adjust images

* Add image titles

* Put images in a table

* Use figures

* Add an example as a gif

* Add more examples and describe the issue with multimodality

* Incorporate review feedback v1

* Incorporate more feedback + tabs for the first image

* Add shortcodes for tabs

* Rollback the tabs

* Incorporate feedback comments

* Test two images in a Markdown table

* Add lightbox

* Switch figure to img

* Switch to HTML

* Display images in tables

* Adjust weight

* Set date to 2023-10-19

* Add examples as videos

* Apply suggestions from code review

Co-authored-by: Nirant <NirantK@users.noreply.github.com>

* Fix typo

* Add title to the social preview

* Update the example videos

* Add a paragraph about handling negative in average_vector

* Grammar fix

* Add feedback changes

* Enable video controls

* Adjust publication date

---------

Co-authored-by: Nirant <NirantK@users.noreply.github.com>
This commit is contained in:
Kacper Łukawski
2023-10-25 12:05:56 +02:00
committed by GitHub
co-authored by Nirant
parent 8ca99417ac
commit a563d68438
16 changed files with 242 additions and 1 deletions
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qdrant-landing/content/articles/food-discovery-demo.md
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@@ -222,7 +222,7 @@ cd demo-food-discovery
docker-compose up -d
```
The demo will be available at `http://localhost:8000`, but you won't be able to search anything until you [import the snapshot into your Qdrant
The demo will be available at `http://localhost:8001`, but you won't be able to search anything until you [import the snapshot into your Qdrant
instance](/documentation/concepts/snapshots/#recover-via-api). If you don't want to bother with hosting a local one, you can use the [Qdrant
Cloud](https://cloud.qdrant.io/) cluster. 4 GB RAM is enough to load all the 2 million entries.