fix: linkchecker include filter port mismatch (#2242)

* 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
@@ -409,7 +409,7 @@ else:
## Step 10: Create Payload Indexes
Create a [full‑text index](/documentation/concepts/indexing/#full-text-index) for faster filtering.
Create a [full‑text index](/documentation/manage-data/indexing/#full-text-index) for faster filtering.
```python
# Create a payload index for 'text' so filters use an index, not a scan.
@@ -526,6 +526,6 @@ print("=" * 60)
- [Qdrant Documentation](/documentation/) - Complete technical reference
- [HNSW Paper](https://arxiv.org/abs/1603.09320) - Original algorithm research
- [Qdrant Cloud](https://cloud.qdrant.io/) - Managed vector search service
- [Performance Tuning Guide](/documentation/guides/optimize/) - Advanced optimization techniques
- [Performance Tuning Guide](/documentation/operations/optimize/) - Advanced optimization techniques
**Ready for the pitstop project?** Now it's your turn to optimize performance with your own dataset and use case. You'll apply these same techniques to your domain-specific data and measure the real-world impact of different HNSW parameters and indexing strategies.