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fix: increase RAG search top_k from 3 to 10

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With only 3 results, passport queries often miss family members since
all passport files have similar low relevance scores. Increasing to 10
ensures all related documents are included in LLM context.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Christian Gick
2026-03-05 15:06:49 +02:00
parent 4ec4054db4
commit e2bac92959
1 changed files with 1 additions and 1 deletions
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2
bot.py
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@@ -336,7 +336,7 @@ class DocumentRAG:
self.use_local_rag = bool(self.rag_endpoint) self.use_local_rag = bool(self.rag_endpoint)
self.enabled = bool(self.rag_endpoint) or bool(portal_url and bot_api_key) self.enabled = bool(self.rag_endpoint) or bool(portal_url and bot_api_key)
async def search(self, query: str, top_k: int = 3, api_key: str | None = None, org_slug: str | None = None, matrix_user_id: str | None = None) -> list[dict]: async def search(self, query: str, top_k: int = 10, api_key: str | None = None, org_slug: str | None = None, matrix_user_id: str | None = None) -> list[dict]:
if not self.enabled or not matrix_user_id: if not self.enabled or not matrix_user_id:
return [] return []