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* initial commit; fixed anchor links on internal docs pages * add back in absolute paths for links in code comments * fix: update linkchecker include filter to match server port 1314 PR #1629 changed the Hugo server to port 1314 but forgot to update the --include filter, which still matched port 1313. This caused all links to be excluded, making the checker a no-op (0 checked, 82277 excluded). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix url rewrite regex so images are not impacted * Fix links from non-documentation pages * Fix broken links * more broken links * more broken links * broken link * Add srcset width descriptor to .lycheeignore * Ignore URLs that contain a % character * Anchor regex so it matches the entire URL --------- Co-authored-by: kanungle <neil.kanungo@gmail.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>
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title, short_description, description, preview_dir, small_preview_image, social_preview_image, weight, author, author_link, date, draft
| title | short_description | description | preview_dir | small_preview_image | social_preview_image | weight | author | author_link | date | draft |
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| Qdrant 0.10 released | A short review of all the features introduced in Qdrant 0.10 | Qdrant 0.10 brings a lot of changes. Check out what's new! | /articles_data/qdrant-0-10-release/preview | /articles_data/qdrant-0-10-release/new-svgrepo-com.svg | /articles_data/qdrant-0-10-release/preview/social_preview.jpg | 70 | Kacper Łukawski | https://medium.com/@lukawskikacper | 2022-09-19T13:30:00+02:00 | false |
Qdrant 0.10 is a new version that brings a lot of performance improvements, but also some new features which were heavily requested by our users. Here is an overview of what has changed.
Storing multiple vectors per object
Previously, if you wanted to use semantic search with multiple vectors per object, you had to create separate collections for each vector type. This was even if the vectors shared some other attributes in the payload. With Qdrant 0.10, you can now store all of these vectors together in the same collection, which allows you to share a single copy of the payload. This makes it easier to use semantic search with multiple vector types, and reduces the amount of work you need to do to set up your collections.
Batch vector search
Previously, you had to send multiple requests to the Qdrant API to perform multiple non-related tasks. However, this can cause significant network overhead and slow down the process, especially if you have a poor connection speed. Fortunately, the new batch search feature allows you to avoid this issue. With just one API call, Qdrant will handle multiple search requests in the most efficient way possible. This means that you can perform multiple tasks simultaneously without having to worry about network overhead or slow performance.
Built-in ARM support
To make our application accessible to ARM users, we have compiled it specifically for that platform. If it is not compiled for ARM, the device will have to emulate it, which can slow down performance. To ensure the best possible experience for ARM users, we have created Docker images specifically for that platform. Keep in mind that using a limited set of processor instructions may affect the performance of your vector search. Therefore, we have tested both ARM and non-ARM architectures using similar setups to understand the potential impact on performance.
Full-text filtering
Qdrant is a vector database that allows you to quickly search for the nearest neighbors. However, you may need to apply additional filters on top of the semantic search. Up until version 0.10, Qdrant only supported keyword filters. With the release of Qdrant 0.10, you can now use full-text filters as well. This new filter type can be used on its own or in combination with other filter types to provide even more flexibility in your searches.