feat: add score threshold to MVI search

src/Momento.Sdk/IPreviewVectorIndexClient.cs

@@ -156,32 +156,36 @@ public Task<UpsertItemBatchResponse> UpsertItemBatchAsync(string indexName,
     ///</returns>
     public Task<DeleteItemBatchResponse> DeleteItemBatchAsync(string indexName, IEnumerable<string> ids);
 
-    /// <summary>
-    /// Searches for the most similar vectors to the query vector in the index.
-    /// Ranks the vectors according to the similarity metric specified when the
-    /// index was created.
-    /// </summary>
-    /// <param name="indexName">The name of the vector index to search in.</param>
-    /// <param name="queryVector">The vector to search for.</param>
-    /// <param name="topK">The number of results to return. Defaults to 10.</param>
-    /// <param name="metadataFields">A list of metadata fields to return with each result.</param>
-    /// <returns>
-    /// Task representing the result of the upsert operation. The
-    /// response object is resolved to a type-safe object of one of
-    /// the following subtypes:
-    /// <list type="bullet">
-    /// <item><description>SearchResponse.Success</description></item>
-    /// <item><description>SearchResponse.Error</description></item>
-    /// </list>
-    /// Pattern matching can be used to operate on the appropriate subtype.
-    /// For example:
-    /// <code>
-    /// if (response is SearchResponse.Error errorResponse)
-    /// {
-    ///     // handle error as appropriate
-    /// }
-    /// </code>
-    ///</returns>
+    ///  <summary>
+    ///  Searches for the most similar vectors to the query vector in the index.
+    ///  Ranks the vectors according to the similarity metric specified when the
+    ///  index was created.
+    ///  </summary>
+    ///  <param name="indexName">The name of the vector index to search in.</param>
+    ///  <param name="queryVector">The vector to search for.</param>
+    ///  <param name="topK">The number of results to return. Defaults to 10.</param>
+    ///  <param name="metadataFields">A list of metadata fields to return with each result.</param>
+    ///  <param name="scoreThreshold">A score threshold to filter results by. For cosine
+    /// similarity and inner product, scores lower than the threshold are excluded. For
+    /// euclidean similarity, scores higher than the threshold are excluded. The threshold
+    /// is exclusive. Defaults to None, ie no threshold.</param>
+    ///  <returns>
+    ///  Task representing the result of the upsert operation. The
+    ///  response object is resolved to a type-safe object of one of
+    ///  the following subtypes:
+    ///  <list type="bullet">
+    ///  <item><description>SearchResponse.Success</description></item>
+    ///  <item><description>SearchResponse.Error</description></item>
+    ///  </list>
+    ///  Pattern matching can be used to operate on the appropriate subtype.
+    ///  For example:
+    ///  <code>
+    ///  if (response is SearchResponse.Error errorResponse)
+    ///  {
+    ///      // handle error as appropriate
+    ///  }
+    ///  </code>
+    /// </returns>
     public Task<SearchResponse> SearchAsync(string indexName, IEnumerable<float> queryVector, int topK = 10,
-        MetadataFields? metadataFields = null);
+        MetadataFields? metadataFields = null, float? scoreThreshold = null);
 }

src/Momento.Sdk/Internal/VectorIndexDataClient.cs

@@ -68,7 +68,7 @@ public async Task<DeleteItemBatchResponse> DeleteItemBatchAsync(string indexName
     }
 
     public async Task<SearchResponse> SearchAsync(string indexName, IEnumerable<float> queryVector, int topK,
-        MetadataFields? metadataFields)
+        MetadataFields? metadataFields, float? scoreThreshold)
     {
         try
         {
@@ -91,9 +91,18 @@ public async Task<SearchResponse> SearchAsync(string indexName, IEnumerable<floa
                 IndexName = indexName,
                 QueryVector = new _Vector { Elements = { queryVector } },
                 TopK = validatedTopK,
-                MetadataFields = metadataRequest
+                MetadataFields = metadataRequest,
             };
 
+            if (scoreThreshold != null)
+            {
+                request.ScoreThreshold = scoreThreshold.Value;
+            }
+            else
+            {
+                request.NoScoreThreshold = new _NoScoreThreshold();
+            }
+
             var response =
                 await grpcManager.Client.SearchAsync(request, new CallOptions(deadline: CalculateDeadline()));
             var searchHits = response.Hits.Select(Convert).ToList();
@@ -167,7 +176,7 @@ private static MetadataValue Convert(_Metadata metadata)
 
     private static SearchHit Convert(_SearchHit hit)
     {
-        return new SearchHit(hit.Id, hit.Distance, Convert(hit.Metadata));
+        return new SearchHit(hit.Id, hit.Score, Convert(hit.Metadata));
     }
 
     private static void CheckValidIndexName(string indexName)

src/Momento.Sdk/Momento.Sdk.csproj

@@ -55,7 +55,7 @@
 	<ItemGroup>
 	  <PackageReference Include="Grpc.Net.Client" Version="2.49.0" />
 	  <PackageReference Include="Microsoft.Bcl.AsyncInterfaces" Version="7.0.0" />
-	  <PackageReference Include="Momento.Protos" Version="0.91.1" />
+	  <PackageReference Include="Momento.Protos" Version="0.94.1" />
 	  <PackageReference Include="JWT" Version="9.0.3" />
 	  <PackageReference Include="System.Threading.Channels" Version="6.0.0" />
 	  <PackageReference Include="Microsoft.Extensions.Logging" Version="6.0.0" />

src/Momento.Sdk/PreviewVectorIndexClient.cs

@@ -69,9 +69,9 @@ public async Task<DeleteItemBatchResponse> DeleteItemBatchAsync(string indexName
 
     /// <inheritdoc />
     public async Task<SearchResponse> SearchAsync(string indexName, IEnumerable<float> queryVector,
-        int topK = 10, MetadataFields? metadataFields = null)
+        int topK = 10, MetadataFields? metadataFields = null, float? searchThreshold = null)
     {
-        return await dataClient.SearchAsync(indexName, queryVector, topK, metadataFields);
+        return await dataClient.SearchAsync(indexName, queryVector, topK, metadataFields, searchThreshold);
     }
 
     /// <inheritdoc />

tests/Integration/Momento.Sdk.Tests/VectorIndexDataTest.cs

@@ -317,4 +317,89 @@ public async Task UpsertAndSearch_WithDiverseMetadata()
             await vectorIndexClient.DeleteIndexAsync(indexName);
         }
     }
+
+    public static IEnumerable<object[]> SearchThresholdTestCases =>
+        new List<object[]>
+        {
+            // similarity metric, scores, thresholds
+            new object[]
+            {
+                SimilarityMetric.CosineSimilarity,
+                new List<float> { 1.0f, 0.0f, -1.0f },
+                new List<float> { 0.5f, -1.01f, 1.0f }
+            },
+            new object[]
+            {
+                SimilarityMetric.InnerProduct,
+                new List<float> { 4.0f, 0.0f, -4.0f },
+                new List<float> { 0.0f, -4.01f, 4.0f }
+            },
+            new object[]
+            {
+                SimilarityMetric.EuclideanSimilarity,
+                new List<float> { 2.0f, 10.0f, 18.0f },
+                new List<float> { 3.0f, 20.0f, -0.01f }
+            }
+        };
+
+    [Theory]
+    [MemberData(nameof(SearchThresholdTestCases))]
+    public async Task Search_PruneBasedOnThreshold(SimilarityMetric similarityMetric, List<float> scores,
+        List<float> thresholds)
+    {
+        var indexName = $"index-{Utils.NewGuidString()}";
+
+        var createResponse = await vectorIndexClient.CreateIndexAsync(indexName, 2, similarityMetric);
+        Assert.True(createResponse is CreateIndexResponse.Success, $"Unexpected response: {createResponse}");
+
+        try
+        {
+            var upsertResponse = await vectorIndexClient.UpsertItemBatchAsync(indexName, new List<Item>
+            {
+                new("test_item_1", new List<float> { 1.0f, 1.0f }),
+                new("test_item_2", new List<float> { -1.0f, 1.0f }),
+                new("test_item_3", new List<float> { -1.0f, -1.0f })
+            });
+            Assert.True(upsertResponse is UpsertItemBatchResponse.Success,
+                $"Unexpected response: {upsertResponse}");
+
+            await Task.Delay(2_000);
+
+            var queryVector = new List<float> { 2.0f, 2.0f };
+            var searchHits = new List<SearchHit>
+            {
+                new("test_item_1", scores[0]),
+                new("test_item_2", scores[1]),
+                new("test_item_3", scores[2])
+            };
+
+            // Test threshold to get only the top result
+            var searchResponse =
+                await vectorIndexClient.SearchAsync(indexName, queryVector, 3, scoreThreshold: thresholds[0]);
+            Assert.True(searchResponse is SearchResponse.Success, $"Unexpected response: {searchResponse}");
+            var successResponse = (SearchResponse.Success)searchResponse;
+            Assert.Equal(new List<SearchHit>
+            {
+                searchHits[0]
+            }, successResponse.Hits);
+
+            // Test threshold to get all results
+            searchResponse =
+                await vectorIndexClient.SearchAsync(indexName, queryVector, 3, scoreThreshold: thresholds[1]);
+            Assert.True(searchResponse is SearchResponse.Success, $"Unexpected response: {searchResponse}");
+            successResponse = (SearchResponse.Success)searchResponse;
+            Assert.Equal(searchHits, successResponse.Hits);
+
+            // Test threshold to get no results
+            searchResponse =
+                await vectorIndexClient.SearchAsync(indexName, queryVector, 3, scoreThreshold: thresholds[2]);
+            Assert.True(searchResponse is SearchResponse.Success, $"Unexpected response: {searchResponse}");
+            successResponse = (SearchResponse.Success)searchResponse;
+            Assert.Empty(successResponse.Hits);
+        }
+        finally
+        {
+            await vectorIndexClient.DeleteIndexAsync(indexName);
+        }
+    }
 }