diff --git a/internal/memory/media/media.go b/internal/memory/media/media.go
index 9b47347..1b0b774 100644
--- a/internal/memory/media/media.go
+++ b/internal/memory/media/media.go
@@ -276,7 +276,8 @@ func (s *Store) Stat(digest string) (*Item, error) {
 	defer s.mu.RUnlock()
 	return s.scanOne(s.db.QueryRow(`
 		SELECT digest, kind, mime, size, width, height, origin_path, tool,
-		       description, described_by, ref_count, first_seen, last_seen
+		       description, described_by, ref_count, first_seen, last_seen,
+		       vec, vec_model
 		FROM media WHERE digest = ?`, digest))
 }
 
diff --git a/internal/memory/media/media_vec_test.go b/internal/memory/media/media_vec_test.go
new file mode 100644
index 0000000..c40a8c4
--- /dev/null
+++ b/internal/memory/media/media_vec_test.go
@@ -0,0 +1,135 @@
+package media
+
+import (
+	"math"
+	"testing"
+)
+
+func TestQueryMedia_BasicSimilarity(t *testing.T) {
+	s := newTestStore(t, 0)
+	defer s.Close()
+
+	// 入库三张带向量的媒体：两张图、一段音频
+	d1, _ := s.Put([]byte("img1"), Item{MIME: "image/png", Description: "紫蓝红三色带"})
+	d2, _ := s.Put([]byte("img2"), Item{MIME: "image/jpeg", Description: "蓝紫红渐变"})
+	d3, _ := s.Put([]byte("aud1"), Item{MIME: "audio/wav", Description: "一段语音"})
+
+	// 模拟视觉嵌入：img1 和 img2 向量接近，aud1 远离
+	vec1 := []float64{0.9, 0.1, 0.0, 0.0}
+	vec2 := []float64{0.8, 0.2, 0.0, 0.0} // 与 vec1 相似
+	vec3 := []float64{0.0, 0.0, 0.9, 0.1} // 与前两个完全不同
+
+	s.SetVec(d1, vec1, "test-clip")
+	s.SetVec(d2, vec2, "test-clip")
+	s.SetVec(d3, vec3, "test-clip")
+
+	// 用 vec1 作为查询：vec2 最相似，vec3 与 vec1 正交（相似度 0，被阈值过滤）
+	results, err := s.QueryMedia(vec1, "test-clip", 10)
+	if err != nil {
+		t.Fatal(err)
+	}
+	// vec3 与 vec1 正交（余弦相似度 0），被 0.05 阈值正确剔除 → 只召回 2 个
+	if len(results) != 2 {
+		t.Fatalf("expected 2 results (正交的 aud1 被阈值过滤), got %d", len(results))
+	}
+	// 第一个应该是 img2（0.9 vs d1 的 1.0？不，这里算清楚）
+	// vec1·vec2 与 vec1·vec1 比较：
+	//   sim(vec1,vec1) = 1.0（img1 与自身），sim(vec1,vec2) = 0.9*0.8+0.1*0.2 = 0.74
+	// 所以 img1（自相似 1.0）排第一，img2 排第二
+	if results[0].Digest != d1 {
+		t.Errorf("expected d1 (自相似 1.0) as first, got %s", results[0].Digest)
+	}
+	if results[1].Digest != d2 {
+		t.Errorf("expected d2 as second, got %s", results[1].Digest)
+	}
+
+	// 验证分数：img1 与自身是 1.0
+	selfScore := cosineSimilaritySlice(vec1, vec1)
+	if math.Abs(selfScore-1.0) > 1e-10 {
+		t.Errorf("self-similarity should be 1.0, got %f", selfScore)
+	}
+
+	// img1 与 aud1 的相似度应该很低
+	crossScore := cosineSimilaritySlice(vec1, vec3)
+	if crossScore > 0.1 {
+		t.Errorf("cross-modality similarity should be low, got %f", crossScore)
+	}
+}
+
+func TestQueryMedia_EmptyVecSkipped(t *testing.T) {
+	s := newTestStore(t, 0)
+	defer s.Close()
+
+	d1, _ := s.Put([]byte("img1"), Item{MIME: "image/png"})
+	_, _ = s.Put([]byte("img2"), Item{MIME: "image/png"})
+
+	// d1 有向量，d2 没有
+	s.SetVec(d1, []float64{0.5, 0.5}, "test")
+	// d2 留空
+
+	results, err := s.QueryMedia([]float64{0.5, 0.5}, "test", 10)
+	if err != nil {
+		t.Fatal(err)
+	}
+	if len(results) != 1 {
+		t.Fatalf("expected 1 result (d2 has no vec), got %d", len(results))
+	}
+	if results[0].Digest != d1 {
+		t.Errorf("expected d1, got %s", results[0].Digest)
+	}
+}
+
+func TestQueryMedia_DimensionMismatchSkipped(t *testing.T) {
+	s := newTestStore(t, 0)
+	defer s.Close()
+
+	d1, _ := s.Put([]byte("img1"), Item{MIME: "image/png"})
+	s.SetVec(d1, []float64{0.5, 0.5}, "model-A") // 2 维
+
+	// 查询用 3 维向量：维度不匹配，应该返回空
+	results, err := s.QueryMedia([]float64{0.3, 0.3, 0.3}, "model-A", 10)
+	if err != nil {
+		t.Fatal(err)
+	}
+	if len(results) != 0 {
+		t.Fatalf("expected 0 results (dim mismatch), got %d", len(results))
+	}
+}
+
+func TestQueryMedia_EmptyQueryReturnsNil(t *testing.T) {
+	s := newTestStore(t, 0)
+	defer s.Close()
+
+	results, err := s.QueryMedia(nil, "", 10)
+	if err != nil {
+		t.Fatal(err)
+	}
+	if results != nil {
+		t.Fatalf("expected nil, got %d results", len(results))
+	}
+}
+
+func TestSetVec_PersistsCorrectly(t *testing.T) {
+	s := newTestStore(t, 0)
+	defer s.Close()
+
+	d, _ := s.Put([]byte("hello"), Item{MIME: "image/png"})
+	vec := []float64{0.1, 0.2, 0.3, 0.4}
+	s.SetVec(d, vec, "clip-vit-b32")
+
+	it, err := s.Stat(d)
+	if err != nil {
+		t.Fatal(err)
+	}
+	if it.VecModel != "clip-vit-b32" {
+		t.Errorf("VecModel = %q, want clip-vit-b32", it.VecModel)
+	}
+	if len(it.Vec) != 4 {
+		t.Fatalf("Vec len = %d, want 4", len(it.Vec))
+	}
+	for i, v := range vec {
+		if math.Abs(it.Vec[i]-v) > 1e-10 {
+			t.Errorf("Vec[%d] = %f, want %f", i, it.Vec[i], v)
+		}
+	}
+}