diff --git a/app/ai/client.py b/app/ai/client.py
index 3684b76..6ff06b5 100644
--- a/app/ai/client.py
+++ b/app/ai/client.py
@@ -264,7 +264,7 @@ class AIClient:
         """벡터 임베딩 — GPU 서버 전용"""
         response = await self._http.post(
             self.ai.embedding.endpoint,
-            json={"model": self.ai.embedding.model, "prompt": text},
+            json={"model": self.ai.embedding.model, "prompt": text, "keep_alive": -1},  # bge-m3 GPU 상주(홈랩 sparse 검색 cold reload ~6s 방지)
         )
         response.raise_for_status()
         return response.json()["embedding"]
diff --git a/app/services/search/retrieval_service.py b/app/services/search/retrieval_service.py
index c14a2eb..f1539ef 100644
--- a/app/services/search/retrieval_service.py
+++ b/app/services/search/retrieval_service.py
@@ -361,7 +361,7 @@ async def search_text(
                        + similarity(coalesce(d.ai_tags::text, ''), :q) * 2.5
                        + similarity(coalesce(d.user_note, ''), :q) * 2.0
                        + similarity(coalesce(d.ai_summary, ''), :q) * 1.5
-                       + similarity(coalesce(d.extracted_text, ''), :q) * 1.0
+                       + similarity(left(coalesce(d.extracted_text, ''), 2000), :q) * 1.0
                        -- FTS 보너스 (idx_documents_fts_full 활용)
                        + coalesce(ts_rank(
                            to_tsvector('simple',
@@ -369,7 +369,7 @@ async def search_text(
                                coalesce(d.ai_tags::text, '') || ' ' ||
                                coalesce(d.ai_summary, '') || ' ' ||
                                coalesce(d.user_note, '') || ' ' ||
-                               coalesce(d.extracted_text, '')
+                               left(coalesce(d.extracted_text, ''), 2000)
                            ),
                            plainto_tsquery('simple', :q)
                        ), 0) * 2.0
@@ -380,7 +380,7 @@ async def search_text(
                        WHEN similarity(coalesce(d.ai_tags::text, ''), :q) >= 0.3 THEN 'tags'
                        WHEN similarity(coalesce(d.user_note, ''), :q) >= 0.3 THEN 'note'
                        WHEN similarity(coalesce(d.ai_summary, ''), :q) >= 0.3 THEN 'summary'
-                       WHEN similarity(coalesce(d.extracted_text, ''), :q) >= 0.3 THEN 'content'
+                       WHEN similarity(left(coalesce(d.extracted_text, ''), 2000), :q) >= 0.3 THEN 'content'
                        ELSE 'fts'
                    END AS match_reason,
                    d.material_type, d.jurisdiction, d.published_date