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Restructure Docs - Stage 4a (#2280)

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* create Develop and Deploy tabs; move Operations; re-weight pages

* move capacity planning page; create section dropdown content

* added aliases to frontmatter

* update link references to new canonical links; maintain anchoring

* address remaining link issues and errors

* fix outlier tutorial reference issue

* Treat 'develop' and 'deploy' as a unified search space

* fix some frontmatter aliases

* add section header redirects

* fix 'Operations' redirect to go to 'Deploy' tab

* update redirects file for * pattern

* add :splat to redirect references

* Add wildcard to each entry in _redirects file

---------

Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>
This commit is contained in:
kanungle
2026-04-20 18:03:45 +02:00
committed by GitHub
co-authored by Abdon Pijpelink
parent 7b463c5ae5
commit 544708f293
155 changed files with 654 additions and 414 deletions
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qdrant-landing/content/course/essentials/day-0/qdrant-cloud.md
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@@ -85,7 +85,7 @@ you’ll get a detailed view with these tabs:
* **Search Quality Tab**: Evaluate and benchmark retrieval precision against ground truth. Tune parameters and measure the impact on accuracy.
* **Snapshots Tab**: Manage backups for this collection. Create a [snapshot](/documentation/operations/snapshots/), restore it later, or migrate it to another cluster.
* **Snapshots Tab**: Manage backups for this collection. Create a [snapshot](/documentation/snapshots/), restore it later, or migrate it to another cluster.
* **Visualize Tab**: Explore your vector space with an interactive 2D projection. See clusters, spot outliers, and build intuition about your embeddings.
qdrant-landing/content/course/essentials/day-2/collection-tuning-demo.md
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- [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/operations/optimize/) - Advanced optimization techniques
- [Performance Tuning Guide](/documentation/ops-optimization/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.
qdrant-landing/content/course/essentials/day-2/what-is-hnsw.md
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@@ -119,7 +119,7 @@ accurate_search = SearchParams(hnsw_ef=256) # Higher recall, slower
### Memory & Indexing Behavior
Some vectors can remain unindexed depending on [optimizer](/documentation/operations/optimizer/) settings e.g. when the unindexed part stays below the `indexing_threshold` (kB).
Some vectors can remain unindexed depending on [optimizer](/documentation/ops-optimization/optimizer/) settings e.g. when the unindexed part stays below the `indexing_threshold` (kB).
Small collections or low-dimensional vectors may not trigger HNSW indexing at all. In such cases, full-scan search (brute force) is used instead until indexing becomes beneficial
qdrant-landing/content/course/multi-vector-search/module-0/qdrant-setup.md
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### Alternative Installation Methods
For production deployments or other installation methods, see the [Qdrant Installation Guide](/documentation/operations/installation/).
For production deployments or other installation methods, see the [Qdrant Installation Guide](/documentation/installation/).
## Verifying Your Setup