fix: 벡터 검색 asyncpg 캐스트 — ::vector → cast(:embedding AS vector)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

app/api/search.py

@@ -120,12 +120,12 @@ async def _search_vector(session: AsyncSession, query: str, limit: int) -> list[
     result = await session.execute(
         text("""
             SELECT id, title, ai_domain, ai_summary, file_format,
-                   (1 - (embedding <=> :embedding::vector)) AS score,
+                   (1 - (embedding <=> cast(:embedding AS vector))) AS score,
                    left(extracted_text, 200) AS snippet,
                    'vector' AS match_reason
             FROM documents
             WHERE embedding IS NOT NULL
-            ORDER BY embedding <=> :embedding::vector
+            ORDER BY embedding <=> cast(:embedding AS vector)
             LIMIT :limit
         """),
         {"embedding": str(query_embedding), "limit": limit},