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fix: linkchecker include filter port mismatch (#2242)

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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>
This commit is contained in:
Andrey Vasnetsov
2026-03-30 17:21:32 +02:00
committed by GitHub
co-authored by Claude Opus 4.6 kanungle Abdon Pijpelink
parent dc0080fffa
commit 1a40961d62
272 changed files with 872 additions and 879 deletions
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qdrant-landing/content/documentation/tutorials-develop/bulk-upload.md
+4 -4
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@@ -512,23 +512,23 @@ At this point, Qdrant will begin indexing new and previously unindexed segments
## Upload directly to disk
When the vectors you upload do not all fit in RAM, you likely want to use
[memmap](/documentation/concepts/storage/#configuring-memmap-storage)
[memmap](/documentation/manage-data/storage/#configuring-memmap-storage)
support.
During collection
[creation](/documentation/concepts/collections/#create-collection),
[creation](/documentation/manage-data/collections/#create-collection),
memmaps may be enabled on a per-vector basis using the `on_disk` parameter. This
will store vector data directly on disk at all times. It is suitable for
ingesting a large amount of data, essential for the billion scale benchmark.
Using `memmap_threshold` is not recommended in this case. It would require
the [optimizer](/documentation/concepts/optimizer/) to constantly
the [optimizer](/documentation/operations/optimizer/) to constantly
transform in-memory segments into memmap segments on disk. This process is
slower, and the optimizer can be a bottleneck when ingesting a large amount of
data.
Read more about this in
[Configuring Memmap Storage](/documentation/concepts/storage/#configuring-memmap-storage).
[Configuring Memmap Storage](/documentation/manage-data/storage/#configuring-memmap-storage).
## Parallel upload into multiple shards