diff --git a/app/models/document.py b/app/models/document.py
index bad4566..6fcb71f 100644
--- a/app/models/document.py
+++ b/app/models/document.py
@@ -43,7 +43,7 @@ class Document(Base):
     ai_confidence: Mapped[float | None] = mapped_column()
 
     # 3계층: 벡터 임베딩
-    embedding = mapped_column(Vector(768), nullable=True)
+    embedding = mapped_column(Vector(1024), nullable=True)
     embed_model_version: Mapped[str | None] = mapped_column(String(50))
     embedded_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
 
diff --git a/app/workers/embed_worker.py b/app/workers/embed_worker.py
index 74f8999..15871a4 100644
--- a/app/workers/embed_worker.py
+++ b/app/workers/embed_worker.py
@@ -1,4 +1,4 @@
-"""벡터 임베딩 워커 — GPU 서버 nomic-embed-text 호출"""
+"""벡터 임베딩 워커 — GPU 서버 bge-m3 호출"""
 
 from datetime import datetime, timezone
 
@@ -10,9 +10,9 @@ from models.document import Document
 
 logger = setup_logger("embed_worker")
 
-# 임베딩용 텍스트 최대 길이 (nomic-embed-text: 8192 토큰)
+# 임베딩용 텍스트 최대 길이 (bge-m3: 8192 토큰)
 MAX_EMBED_TEXT = 6000
-EMBED_MODEL_VERSION = "nomic-embed-text-v1.5"
+EMBED_MODEL_VERSION = "bge-m3"
 
 
 async def process(document_id: int, session: AsyncSession) -> None:
diff --git a/config.yaml b/config.yaml
index 91fbdf0..53a4f9f 100644
--- a/config.yaml
+++ b/config.yaml
@@ -26,7 +26,7 @@ ai:
 
     embedding:
       endpoint: "http://ollama:11434/api/embeddings"
-      model: "nomic-embed-text"
+      model: "bge-m3"
 
     vision:
       endpoint: "http://ollama:11434/api/generate"
diff --git a/migrations/011_embedding_1024.sql b/migrations/011_embedding_1024.sql
new file mode 100644
index 0000000..ecc816e
--- /dev/null
+++ b/migrations/011_embedding_1024.sql
@@ -0,0 +1,7 @@
+-- 벡터 차원 변경: 768 → 1024 (nomic-embed-text → bge-m3)
+-- 기존 임베딩 데이터 초기화 (재생성 필요)
+ALTER TABLE documents DROP COLUMN IF EXISTS embedding;
+ALTER TABLE documents ADD COLUMN embedding vector(1024);
+
+-- 기존 임베딩 메타 초기화
+UPDATE documents SET embedded_at = NULL, embed_model_version = NULL;