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llmgw/internal/control/adminapi
Ilker ManapandClaude Opus 5.5 bc5ee9f3aa Knowledge search ranks by how near a chunk's meaning is, not by its place in two lists
Fused by rank, a full-text match on a question's everyday words outvoted a
far nearer meaning: on the PoC, "how much leave do fathers get" found the
annual-leave page before the paternity one (cosine distance 0.44 against
0.25). Now a chunk scores its similarity to the question plus up to 0.3 for
a full-text match, each search brings four times k candidates, the text
search drops Turkish and English stop words, and an operator's search says
when the embedding model did not answer rather than quietly searching text.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
2026-10-08 15:05:18 +02:00
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2026-10-05 00:08:33 +02:00
2026-10-05 00:08:33 +02:00
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