* fix(docs): correct C# MatchExcept snippet to use MatchExcept instead of Match
The C# code example in the match-except filter condition snippet was
incorrectly using Match() instead of MatchExcept(), making it identical
to the match-any example. This is misleading for developers trying to
implement the MatchExcept (NOT IN) filter condition in C#.
Fixes#1656
* Add Markdownified code snippet
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Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>
The FAQ linked to /documentation/tutorials-search-engineering/retrieval-quality/,
which only exists as a Hugo alias on the ANN recall tutorial. Aliases emit
HTML redirects but not Markdown ones, so the link checker hits the .md
output and 404s. The surrounding prose (golden query set, NDCG@10) is
relevance-tutorial territory anyway.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* Add TurboQuant quantization documentation (v1.18.0)
Adds a new TurboQuant section to the quantization guide covering the
four encoding options (bits1/bits1_5/bits2/bits4), automatic asymmetric
quantization, distance metric support, and the automatic TQ+ precision
enhancement for sealed segments. Updates the comparison table and
method-selection guidance to recommend TurboQuant over Binary and
Scalar Quantization for new collections. Adds HTTP-only snippets for
basic setup and explicit bit-depth selection.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Consistently use title case for headers
* Restructure doc to lead with TurboQuant
* Clarify rescoring
* Edits
* Soften TQ advice
* Updates
* Fix
* Apply suggestions from code review
Co-authored-by: Jojii <15957865+JojiiOfficial@users.noreply.github.com>
* Review feedback
* Add Go/Java/C# code snippets
* Add list of 4 quantization methods to introduction
* Review feedback
* Stronger advice for TQ4
* Add Python snippets
* Add Rust snippets
* Add TS snippets
* Update recommendation table
* Update production checklist
* Remove link to article
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Jojii <15957865+JojiiOfficial@users.noreply.github.com>
* Adds a run script to easily serve the page locally
* Updates the Hugo version
* Updates deprecated fields
* Add version checks in the run and build scripts
* Update JS dependencies to fix CVEs
* Update FAQ
* Fix links
* One more link
* Apply suggestions from code review
Co-authored-by: Tim Visée <tim+github@visee.me>
---------
Co-authored-by: Tim Visée <tim+github@visee.me>
* Document per-collection API metrics (v1.18.0)
Add a footnote to rest_responses_total and grpc_responses_total in the
metrics table and a new "Per-Collection API Metrics" subsection explaining
the ?per_collection=true query parameter added in qdrant/qdrant#8214.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Consistently use title case
* Review feedback
* Edit
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Tutorial slugs now match their content:
- retrieval-quality/ -> ann-recall/ (alias preserves the old published path)
- retrieval-quality-golden-set/ -> retrieval-relevance/
- retrieval-quality-pipeline-output/ -> pipeline-output-quality/
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* Document 7 missing strict_mode_config parameters
Adds documentation sections and code snippets (Python, TypeScript, Rust,
Go, Java, C#, HTTP, bash) for search_allow_exact, search_max_hnsw_ef,
search_max_oversampling, search_max_batchsize, max_resident_memory_percent,
multivector_config, and sparse_config.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Use title case for all headers
* Update qdrant-landing/content/documentation/ops-configuration/administration.md
Co-authored-by: Tim Visée <tim@visee.me>
* Mention default strict mode on Cloud; Clarify behavior of only setting enabled=true
* Apply suggestion from @timvisee
Co-authored-by: Tim Visée <tim@visee.me>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Tim Visée <tim@visee.me>
* Add Monitor Collection Memory Usage page (v1.18.0)
New page in Monitoring & Telemetry documenting the Web UI Memory tab and
the GET /collections/{name}/memory API endpoint added in qdrant/qdrant#8606
and qdrant/qdrant-web-ui#372.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Update web-ui docs link
* Review feedback
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Splits the three retrieval-evaluation tutorials across two sections.
ANN Recall (Web UI, language-agnostic) stays under Search Engineering.
The two Python ecosystem tutorials (ranx, ragas) move to a new top-level
Improve Search section under the Ecosystem partition.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* Document low memory mode (v1.18.0)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Consistently use title case for all headers
* Update qdrant-landing/content/documentation/ops-configuration/administration.md
Co-authored-by: Tim Visée <tim@visee.me>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Tim Visée <tim@visee.me>
Web UI is renaming the tab, card title, and column header to
"ANN Recall" alongside the precision-to-recall switch. Update the
prose and screenshot alt text to match. Button label
(Check Index Quality) stays as is.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Recall@k is the standard metric for ANN benchmarks. Rename the
tutorial title, headings, helper function, and prose; update the
recent inline edits and merge sentence; and update cross-links from
the relevance and pipeline-output tutorials and the tutorials index.
Generic Precision@k mentions in the ranx metric list are unrelated
and left alone.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The Search Quality tab uses the Query Points API, so it can only
tune search-time SearchParams. Replace the m/ef_construct walkthrough
with hnsw_ef and link to the Essentials course for the build-time
trade-offs.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Keep a brief Layer 4 mention in the ANN guide and remove the dedicated section from the pipeline-output guide.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds an inline gloss for SingleTurnSample where readers first encounter it,
names EvaluationResult precisely as the return type of evaluate(), and
normalizes "golden query set" to "golden set" in the intro to match the
rest of the tutorial. Ends the tutorial with a Wrapping Up section that
closes the series.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Expands MRR with Mean Reciprocal Rank and a Wikipedia link where the
metric becomes operational, matching the inline expansion treatment
already given to NDCG. Drops the IR acronym in favor of the plainer
"ranking metrics" phrasing. Strips the parenthetical subtitle from the
Pitfalls heading and normalizes the intro to use "golden sets".
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds an explicit Prerequisites line matching the pattern in Measuring
Retrieval Relevance and Evaluating Pipeline Output Quality. Renames
"Wrapping Up" to "Next Steps" for naming consistency across the series.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Aligns the layer-2 tutorial title with the parallel "Measuring X" /
"Evaluating X" pattern used by the other two and maps directly to the
four-layer framework. Slug stays the same to preserve URLs and the
golden-set artifact identity in the path. Also updates the nav descriptions
to reflect the tutorial's full scope (build + score, not just build).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The four-layer framework, metric-selection table, and business-impact
guidance now live inside the three execution tutorials. The fundamentals
page is no longer needed as a shared reference and readers don't have to
leave the tutorial flow to get context.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Folds the business-impact framework (KPI selection, pre-registered decision
rules, offline-online calibration, proxy signals) into the tutorial so it
stands alone without the external fundamentals page. The ladder pointer in
the intro now references the four-layer section inside ANN Precision.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replaces the external pointer to retrieval-quality-fundamentals with an
inline scenario-to-metric table plus guidance on picking k. The ladder
pointer now references the four-layer section inside ANN Precision rather
than the fundamentals page.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replaces the external pointer to retrieval-quality-fundamentals with a
self-contained section introducing the four evaluation layers. The tutorial
no longer depends on fundamentals for orientation.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
kanungle