perf: keyword-first hybrid fusion, lighter query-side embedding - #49
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…ng the model, hybrid >= keyword CI floor
…sion only on package files (fetched 96/105)
…e lists five configurations
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Hybrid search is no longer worse than keyword search: on package files, weighted reciprocal rank fusion (90% keyword, 10% embedding) replaces the min-max score mix, which let the embedding outvote exact API-name matches. The score mix is kept when upstream docs are indexed (fetched 96/105). Benchmark, package files: hybrid 60 to 64 of 105, against keyword-only 59; held-out 8/18, which ties keyword-only, so the gain on unseen questions is not proven yet. A query reads only its own tokens' rows from the model file: median peak RSS 48 MB to 18 MB, latency 42 ms to 18 ms. CI fails if hybrid scores below keyword-only. Opus review: GO.