24 Mar, 2026
2 commits
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The backend now exposes a structured debug_info that is much closer to the real ranking pipeline: query_analysis now includes index_languages, query_tokens, query-vector summary, translation/enrichment plan, and translation debug. query_build now explains the ES recall plan: base-language clause, translated clauses, filters vs post-filters, KNN settings, function-score config, and related inputs. es_request distinguishes the logical DSL from the actual body sent to ES, including rerank prefetch _source. es_response now includes the initial ES ranking window stats used for score interpretation. rerank now includes execution state, templates, rendered rerank query text, window/top_n, service/meta, and the fusion formula. pagination now shows rerank-window fetch vs requested page plus page-fill details. For each result in debug_info.per_result, ranking debug is now much richer: initial rank and final rank raw ES score es_score_normalized = raw score / initial ES window max es_score_norm = min-max normalization over the initial ES window explicit normalization notes explaining that fusion does not directly consume an ES-normalized score rerank input details: doc template, title suffix, template field values, doc preview/length fusion breakdown: rerank_factor, text_factor, knn_factor, constants, raw inputs, final fused score text subcomponents: source/translation/weighted/primary/support/fallback evidence via matched_queries richer style-intent SKU debug, including selected SKU summary and intent texts
22 Mar, 2026
1 commit
18 Mar, 2026
2 commits
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核心改动在 rerank_client.py (line 99)：fuse_scores_and_resort 现在按 rerank * knn * text 的平滑乘法公式计算，优先从 hit["matched_queries"] 里取 base_query 和 knn_query，并把 _text_score / _knn_score 一并写回调试字段。为了让 KNN 也有名字，我给 top-level knn 加了 name: "knn_query"，见 es_query_builder.py (line 273)。搜索执行时会在 rerank 窗口内打开 include_named_queries_score，并在显式排序时加上 track_scores，见 searcher.py (line 400) 和 es_client.py (line 224)。