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>
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>
* Document audit logging tracing ID support (v1.18.0)
Add a "Tracing IDs" subsection to the Audit Logging section of security.md,
and code snippets for all six client SDKs showing how to attach an
x-request-id header to requests so it appears in audit log entries.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Small edits
* Don't hide imports in Python snippet
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
- Update title, H1, and Time in retrieval-quality.md
(30 min -> 15 min reflects the pivot to Web UI)
- Rename references in tutorials-lp-overview.md and the headless
tutorial index; swap the pill from Python to Web UI to reflect
the new primary flow
- Replace "ANN recall" with "ANN precision" in Fundamentals
(4 places: intro, comparison note, ladder table, cross-link)
and in the golden-set tutorial's layer-1 cross-reference
- Filename kept as retrieval-quality.md so existing URLs and
aliases still work
Updates both search engineering index files (the headless partial and
the tutorials-lp overview) to list Retrieval Quality Fundamentals and
Building a Golden Query Set alongside the existing Retrieval Quality
Evaluation row. The Evaluation row is also retitled from "Measure
quality and tune HNSW parameters" to "Measure ANN recall and tune
HNSW parameters" to match the refactored page.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* 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>
* Initial Rust snippets
* Update content for Rust
* Upgrade Rust to 1.94.0; test Edge code snippets against dev
* Temporarily test against Edge shim crate
* Move to EdgeShardConfig and EdgeVectorParams
* Add docs for payload indexing, filtering, facet(), and optimize()
* De-emphasize on-device use case
* Update link to Rust examples on Github
* Flattened API
* Switch to new/create and load to initialize shards
* Fixups for released packages
* Mention recover_partial_snapshot on method list
* Link to Github dev branch for examples
---------
Co-authored-by: xzfc <xzfcpw@gmail.com>
* Switch to insert-only mode instead of conditional upserts
* Make code snippets testable; use Cloud Inference
* Use regular upserts instead of batch_update_points
* Add snippets for TS, Rust, Java, C#, and Go
* Support generating multiple snippets from one source file
* Convert Python code snippets from one source file
* Add code snippets for C#, Go, Java, Rust and TS
* Make intro less Python-oriented
* Add client installation instructions for all languages
* Cleanup python code
---------
Co-authored-by: xzfc <xzfcpw@gmail.com>
