diff --git a/VectorSearchApp/Models/AddressEmbedding.cs b/VectorSearchApp/Models/AddressEmbedding.cs
index dc7a059..66ba05a 100644
--- a/VectorSearchApp/Models/AddressEmbedding.cs
+++ b/VectorSearchApp/Models/AddressEmbedding.cs
@@ -5,4 +5,5 @@ public class AddressEmbedding
     public Guid Id { get; set; }
     public string FullAddress { get; set; } = string.Empty;
     public float[] Vector { get; set; } = Array.Empty<float>();
+    public float Score { get; set; }
 }
\ No newline at end of file
diff --git a/VectorSearchApp/Program.cs b/VectorSearchApp/Program.cs
index 8364fa0..9b72bc9 100644
--- a/VectorSearchApp/Program.cs
+++ b/VectorSearchApp/Program.cs
@@ -156,13 +156,29 @@ async Task SearchAddressesAsync(IEmbeddingService embeddingService, IQdrantServi
         return;
     }
 
+    Console.Write("Enter similarity threshold (0.0-1.0, lower = stricter, press Enter for 0.7): ");
+    var thresholdInput = Console.ReadLine()?.Trim();
+    float threshold = 0.7f;
+    if (!string.IsNullOrEmpty(thresholdInput) && float.TryParse(thresholdInput, out var parsedThreshold))
+    {
+        threshold = Math.Clamp(parsedThreshold, 0f, 1f);
+    }
+
+    Console.Write("Enter max results to return (press Enter for 5, or '2' for top 2 most similar): ");
+    var limitInput = Console.ReadLine()?.Trim();
+    int limit = 5;
+    if (!string.IsNullOrEmpty(limitInput) && int.TryParse(limitInput, out var parsedLimit))
+    {
+        limit = Math.Max(1, parsedLimit);
+    }
+
     Console.WriteLine("Generating query embedding...");
     try
     {
         var queryEmbedding = await embeddingService.GenerateEmbeddingAsync(query);
-        Console.WriteLine($"Searching for similar addresses...");
+        Console.WriteLine($"Searching for similar addresses (threshold: {threshold:F2}, max results: {limit})...");
 
-        var results = await qdrantService.SearchSimilarAddressesAsync(queryEmbedding, limit: 5);
+        var results = await qdrantService.SearchSimilarAddressesAsync(queryEmbedding, limit: limit, scoreThreshold: threshold);
 
         if (results.Count == 0)
         {
@@ -173,7 +189,7 @@ async Task SearchAddressesAsync(IEmbeddingService embeddingService, IQdrantServi
         Console.WriteLine($"\nFound {results.Count} similar address(es):");
         for (int i = 0; i < results.Count; i++)
         {
-            Console.WriteLine($"  {i + 1}. {results[i].FullAddress}");
+            Console.WriteLine($"  {i + 1}. {results[i].FullAddress} (Score: {results[i].Score:F4})");
         }
     }
     catch (Exception ex)
diff --git a/VectorSearchApp/Services/QdrantService.cs b/VectorSearchApp/Services/QdrantService.cs
index ac94fa0..d257a7f 100644
--- a/VectorSearchApp/Services/QdrantService.cs
+++ b/VectorSearchApp/Services/QdrantService.cs
@@ -9,7 +9,7 @@ public interface IQdrantService
 {
     Task InitializeCollectionAsync(CancellationToken cancellationToken = default);
     Task StoreAddressAsync(Address address, float[] embedding, CancellationToken cancellationToken = default);
-    Task<List<AddressEmbedding>> SearchSimilarAddressesAsync(float[] queryEmbedding, int limit = 5, CancellationToken cancellationToken = default);
+    Task<List<AddressEmbedding>> SearchSimilarAddressesAsync(float[] queryEmbedding, int limit = 5, float scoreThreshold = 0.0f, CancellationToken cancellationToken = default);
 }
 
 public class QdrantService : IQdrantService
@@ -55,15 +55,16 @@ public class QdrantService : IQdrantService
         await _client.UpsertAsync(_collectionName, new[] { point }, cancellationToken: cancellationToken);
     }
 
-    public async Task<List<AddressEmbedding>> SearchSimilarAddressesAsync(float[] queryEmbedding, int limit = 5, CancellationToken cancellationToken = default)
+    public async Task<List<AddressEmbedding>> SearchSimilarAddressesAsync(float[] queryEmbedding, int limit = 5, float scoreThreshold = 0.0f, CancellationToken cancellationToken = default)
     {
-        var results = await _client.SearchAsync(_collectionName, queryEmbedding, limit: (ulong)limit, cancellationToken: cancellationToken);
+        var results = await _client.SearchAsync(_collectionName, queryEmbedding, limit: (ulong)limit, scoreThreshold: scoreThreshold, cancellationToken: cancellationToken);
         
         return results.Select(r => new AddressEmbedding
         {
             Id = Guid.Parse(r.Id.Uuid),
             FullAddress = r.Payload["address"].StringValue,
-            Vector = Array.Empty<float>()
+            Vector = Array.Empty<float>(),
+            Score = r.Score
         }).ToList();
     }
 }
\ No newline at end of file