Added test for unindexed field [skip ci]

test/knn_test.rb

@@ -74,4 +74,19 @@ def test_distance
     end
     assert_equal "distance must be set on index for approximate search", error.message
   end
+
+  def test_unindexed
+    store [{name: "A", vector: [1, 2, 3]}, {name: "B", vector: [-1, -2, -3]}]
+    assert_order "*", ["A", "B"], knn: {field: :vector, vector: [1, 2, 3], distance: "cosine", exact: true}
+
+    scores = Product.search(knn: {field: :vector, vector: [1, 2, 3], distance: "cosine", exact: true}).hits.map { |v| v["_score"] }
+    # TODO match approximate
+    assert_in_delta 2, scores[0]
+    assert_in_delta 0, scores[1]
+
+    error = assert_raises(Searchkick::InvalidQueryError) do
+      Product.search(knn: {field: :vector, vector: [1, 2, 3]}).to_a
+    end
+    assert_match "to perform knn search on field [vector], its mapping must have [index] set to [true]", error.message
+  end
 end

test/models/product.rb

@@ -21,7 +21,7 @@ class Product
     filterable: [:name, :color, :description],
     similarity: "BM25",
     match: ENV["MATCH"] ? ENV["MATCH"].to_sym : nil,
-    knn: Searchkick.knn_support? ? {embedding: {dimensions: 3, distance: "cosine"}, factors: {dimensions: 3, distance: "euclidean"}} : nil
+    knn: Searchkick.knn_support? ? {embedding: {dimensions: 3, distance: "cosine"}, factors: {dimensions: 3, distance: "euclidean"}, vector: {dimensions: 3}} : nil
 
   attr_accessor :conversions, :user_ids, :aisle, :details
 

test/support/activerecord.rb

@@ -34,6 +34,7 @@
     t.text :alt_description
     t.text :embedding
     t.text :factors
+    t.text :vector
     t.timestamps null: true
   end
 
@@ -81,9 +82,11 @@ class Product < ActiveRecord::Base
   if ActiveRecord::VERSION::STRING.to_f >= 7.1
     serialize :embedding, coder: JSON
     serialize :factors, coder: JSON
+    serialize :vector, coder: JSON
   else
     serialize :embedding, JSON
     serialize :factors, JSON
+    serialize :vector, JSON
   end
 end
 

test/support/mongoid.rb

@@ -23,6 +23,7 @@ class Product
   field :alt_description
   field :embedding, type: Array
   field :factors, type: Array
+  field :vector, type: Array
 end
 
 class Store