diff --git a/ndarray-safetensors/src/lib.rs b/ndarray-safetensors/src/lib.rs
index 5a17d64..ab7e96d 100644
--- a/ndarray-safetensors/src/lib.rs
+++ b/ndarray-safetensors/src/lib.rs
@@ -114,6 +114,22 @@ impl<'a> SafeArraysView<'a> {
             .map(|array_view| array_view.into_dimensionality::<Dim>())??)
     }
 
+    pub fn tensor_by_index<T: STDtype, Dim: ndarray::Dimension>(
+        &self,
+        index: usize,
+    ) -> Result<ndarray::ArrayView<'a, T, Dim>> {
+        self.tensors
+            .iter()
+            .nth(index)
+            .ok_or(SafeTensorError::TensorNotFound(format!(
+                "Index {} out of bounds",
+                index
+            )))
+            .map(|(_, tensor)| tensor_view_to_array_view(tensor))?
+            .map(|array_view| array_view.into_dimensionality::<Dim>())?
+            .map_err(SafeTensorError::NdarrayShapeError)
+    }
+
     /// Get an iterator over tensor names
     pub fn names(&self) -> std::vec::IntoIter<&str> {
         self.tensors.names().into_iter()
diff --git a/src/database.rs b/src/database.rs
index 6338cce..35211e7 100644
--- a/src/database.rs
+++ b/src/database.rs
@@ -551,10 +551,10 @@ fn add_sqlite_cosine_similarity(db: &Connection) -> Result<()> {
                 .map_err(|e| rusqlite::Error::UserFunctionError(e.into()))?;
 
             let array_view_1 = array_1_st
-                .tensor::<f32, ndarray::Ix1>("embedding")
+                .tensor_by_index::<f32, ndarray::Ix1>(0)
                 .map_err(|e| rusqlite::Error::UserFunctionError(e.into()))?;
             let array_view_2 = array_2_st
-                .tensor::<f32, ndarray::Ix1>("embedding")
+                .tensor_by_index::<f32, ndarray::Ix1>(0)
                 .map_err(|e| rusqlite::Error::UserFunctionError(e.into()))?;
 
             let similarity = array_view_1
diff --git a/src/main.rs b/src/main.rs
index c661f14..387115c 100644
--- a/src/main.rs
+++ b/src/main.rs
@@ -130,7 +130,7 @@ where
         .attach_printable("Failed to detect faces")?;
 
     // Store image and face detections in database if requested
-    let (image_id, face_ids) = if let Some(ref database) = db {
+    let (_image_id, face_ids) = if let Some(ref database) = db {
         let image_path = detect.image.to_string_lossy();
         let img_id = database
             .store_image(&image_path, image_width, image_height)