diff --git a/firestore/integration_test.go b/firestore/integration_test.go
index a1101a166593..dfc19692c545 100644
--- a/firestore/integration_test.go
+++ b/firestore/integration_test.go
@@ -2851,10 +2851,10 @@ func TestIntegration_FindNearest(t *testing.T) {
 	t.Cleanup(func() {
 		cancel()
 	})
-
+	queryField := "EmbeddedField64"
 	indexNames := createVectorIndexes(adminCtx, t, wantDBPath, []vectorIndex{
 		{
-			fieldPath: "EmbeddedField",
+			fieldPath: queryField,
 			dimension: 3,
 		},
 	})
@@ -2862,7 +2862,6 @@ func TestIntegration_FindNearest(t *testing.T) {
 		deleteIndexes(adminCtx, indexNames)
 	})
 
-	queryField := "EmbeddedField64"
 	type coffeeBean struct {
 		ID              string
 		EmbeddedField64 Vector64
diff --git a/firestore/query.go b/firestore/query.go
index a843e57fef19..e46de704943e 100644
--- a/firestore/query.go
+++ b/firestore/query.go
@@ -392,7 +392,7 @@ const (
 	DistanceMeasureDotProduct DistanceMeasure = DistanceMeasure(pb.StructuredQuery_FindNearest_DOT_PRODUCT)
 )
 
-// FindNearestOptions is options to use while building FindNearest vector query
+// FindNearestOptions are options for a FindNearest vector query.
 type FindNearestOptions struct {
 }
 
@@ -412,7 +412,7 @@ type VectorQuery struct {
 //
 // The vectorField argument can be a single field or a dot-separated sequence of
 // fields, and must not contain any of the runes "˜*/[]".
-func (q Query) FindNearest(vectorField string, queryVector interface{}, limit int, measure DistanceMeasure, options *FindNearestOptions) VectorQuery {
+func (q Query) FindNearest(vectorField string, queryVector any, limit int, measure DistanceMeasure, options *FindNearestOptions) VectorQuery {
 	// Validate field path
 	fieldPath, err := parseDotSeparatedString(vectorField)
 	if err != nil {
@@ -430,7 +430,7 @@ func (vq VectorQuery) Documents(ctx context.Context) *DocumentIterator {
 }
 
 // FindNearestPath is similar to FindNearest but it accepts a [FieldPath].
-func (q Query) FindNearestPath(vectorFieldPath FieldPath, queryVector interface{}, limit int, measure DistanceMeasure, options *FindNearestOptions) VectorQuery {
+func (q Query) FindNearestPath(vectorFieldPath FieldPath, queryVector any, limit int, measure DistanceMeasure, options *FindNearestOptions) VectorQuery {
 	vq := VectorQuery{
 		q: q,
 	}
@@ -446,13 +446,15 @@ func (q Query) FindNearestPath(vectorFieldPath FieldPath, queryVector interface{
 	switch v := queryVector.(type) {
 	case Vector32:
 		fnvq = vectorToProtoValue([]float32(v))
+	case []float32:
+		fnvq = vectorToProtoValue([]float32(v))
 	case Vector64:
 		fnvq = vectorToProtoValue([]float64(v))
+	case []float64:
+		fnvq = vectorToProtoValue([]float64(v))
 	default:
 		vq.q.err = errors.New("firestore: queryVector must be Vector32 or Vector64")
-		return VectorQuery{
-			q: q,
-		}
+		return vq
 	}
 
 	vq.q.findNearest = &pb.StructuredQuery_FindNearest{
diff --git a/firestore/query_test.go b/firestore/query_test.go
index 63e6d568dfdc..106a1bbe15bd 100644
--- a/firestore/query_test.go
+++ b/firestore/query_test.go
@@ -1475,7 +1475,7 @@ func TestFindNearest(t *testing.T) {
 			desc:        "Invalid vector type",
 			path:        "path",
 			queryVector: "abcd",
-			wantErr:     false,
+			wantErr:     true,
 		},
 		{
 			desc:        "Valid vector type",
diff --git a/firestore/vector.go b/firestore/vector.go
index 2514acffbc03..4eaa60c35b40 100644
--- a/firestore/vector.go
+++ b/firestore/vector.go
@@ -26,8 +26,10 @@ const (
 	valueKey      = "value"
 )
 
-// Vector64 is an embedding vector.
+// Vector64 is an embedding vector of float64s.
 type Vector64 []float64
+
+// Vector64 is an embedding vector of float32s.
 type Vector32 []float32
 
 // vectorToProtoValue returns a Firestore [pb.Value] representing the Vector.