Commit Graph
6 Commits
Author SHA1 Message Date
Dylan Couzon 92af150b00 retrieval-quality: rename to "Measuring ANN Precision"
- 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
2026-04-22 17:13:27 -04:00
Dylan Couzon bb8cac5a6e update completion times 2026-04-21 12:00:10 -04:00
Dylan Couzon 5503b005b6 improve wording 2026-04-20 12:32:33 -04:00
Dylan Couzon d6f06d6b60 clean up tables 2026-04-20 12:22:45 -04:00
Dylan Couzon e9e0e4bddd Syntax 2026-04-20 12:21:05 -04:00
Dylan CouzonandClaude Sonnet 4.6 5db9d106aa Add Retrieval Quality Fundamentals and Golden Query Set tutorials
Introduces two new conceptual tutorials under tutorials-search-engineering:

- Retrieval Quality Fundamentals covers the three-level evaluation
  framework (ANN recall, retrieval relevance, business impact), the
  evaluation ladder that connects them in practice, and a which-metric-
  when decision table keyed by scenario and available ground truth.
- Building a Golden Query Set covers query generation at scale (logs,
  LLM synthesis, human annotation) and the failure modes commonly
  lumped together as data leakage: synthetic-query unrealism,
  embedding-model contamination, near-duplicate documents, temporal
  drift, and reviewer reproducibility.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-20 10:42:05 -04:00