diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/mrl-multi-stage/csharp.md b/qdrant-landing/content/documentation/headless/snippets/inference/mrl-multi-stage/csharp.md
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+++ b/qdrant-landing/content/documentation/headless/snippets/inference/mrl-multi-stage/csharp.md
@@ -0,0 +1,37 @@
+```csharp
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+var client = new QdrantClient(
+    host: "xyz-example.qdrant.io",
+    port: 6334,
+    https: true,
+    apiKey: "<your-api-key>"
+);
+
+await client.QueryAsync(
+    collectionName: "{collection_name}",
+    prefetch:
+    [
+        new()
+        {
+            Query = new Document()
+            {
+                Model = "openai/text-embedding-3-small",
+                Text = "How to bake cookies?",
+                Options = { ["openai-api-key"] = "<YOUR_OPENAI_API_KEY>", ["mrl"] = 64 },
+            },
+            Using = "small",
+            Limit = 1000,
+        },
+    ],
+    query: new Document()
+    {
+        Model = "openai/text-embedding-3-small",
+        Text = "How to bake cookies?",
+        Options = { ["openai-api-key"] = "<YOUR_OPENAI_API_KEY>" },
+    },
+    usingVector: "large",
+    limit: 10
+);
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/mrl-multi-stage/java.md b/qdrant-landing/content/documentation/headless/snippets/inference/mrl-multi-stage/java.md
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+++ b/qdrant-landing/content/documentation/headless/snippets/inference/mrl-multi-stage/java.md
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+```java
+import static io.qdrant.client.QueryFactory.nearest;
+import static io.qdrant.client.ValueFactory.value;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Points;
+import io.qdrant.client.grpc.Points.Document;
+import io.qdrant.client.grpc.Points.PrefetchQuery;
+import java.util.Map;
+
+QdrantClient client =
+    new QdrantClient(
+        QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
+            .withApiKey("<your-api-key")
+            .build());
+
+client
+    .queryAsync(
+        Points.QueryPoints.newBuilder()
+            .setCollectionName("{collection_name}")
+            .addPrefetch(
+                PrefetchQuery.newBuilder()
+                    .setQuery(
+                        nearest(
+                            Document.newBuilder()
+                                .setModel("openai/text-embedding-3-small")
+                                .setText("How to bake cookies?")
+                                .putAllOptions(
+                                    Map.of(
+                                        "openai-api-key",
+                                        value("<YOUR_OPENAI_API_KEY>"),
+                                        "mrl",
+                                        value(64)))
+                                .build()))
+                    .setUsing("small")
+                    .setLimit(1000)
+                    .build())
+            .setQuery(
+                nearest(
+                    Document.newBuilder()
+                        .setModel("openai/text-embedding-3-small")
+                        .setText("How to bake cookies?")
+                        .putAllOptions(Map.of("openai-api-key", value("<YOUR_OPENAI_API_KEY>")))
+                        .build()))
+            .setUsing("large")
+            .build())
+    .get();
+```
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diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/mrl/csharp.md b/qdrant-landing/content/documentation/headless/snippets/inference/mrl/csharp.md
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index 000000000..fec63b976
--- /dev/null
+++ b/qdrant-landing/content/documentation/headless/snippets/inference/mrl/csharp.md
@@ -0,0 +1,37 @@
+```csharp
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+var client = new QdrantClient(
+    host: "xyz-example.qdrant.io",
+    port: 6334,
+    https: true,
+    apiKey: "<your-api-key>"
+);
+
+await client.UpsertAsync(
+    collectionName: "{collection_name}",
+    points: new List<PointStruct>
+    {
+        new()
+        {
+            Id = 1,
+            Vectors = new Dictionary<string, Vector>
+            {
+                ["large"] = new Document()
+                {
+                    Model = "openai/text-embedding-3-small",
+                    Text = "Recipe for baking chocolate chip cookies",
+                    Options = { ["openai-api-key"] = "<YOUR_OPENAI_API_KEY>" },
+                },
+                ["small"] = new Document()
+                {
+                    Model = "openai/text-embedding-3-small",
+                    Text = "Recipe for baking chocolate chip cookies",
+                    Options = { ["openai-api-key"] = "<YOUR_OPENAI_API_KEY>", ["mrl"] = 64 },
+                },
+            },
+        },
+    }
+);
+```
diff --git a/qdrant-landing/content/documentation/headless/snippets/inference/mrl/java.md b/qdrant-landing/content/documentation/headless/snippets/inference/mrl/java.md
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+++ b/qdrant-landing/content/documentation/headless/snippets/inference/mrl/java.md
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+```java
+import static io.qdrant.client.PointIdFactory.id;
+import static io.qdrant.client.ValueFactory.value;
+import static io.qdrant.client.VectorFactory.vector;
+import static io.qdrant.client.VectorsFactory.namedVectors;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Points.Document;
+import io.qdrant.client.grpc.Points.PointStruct;
+import java.util.List;
+import java.util.Map;
+
+QdrantClient client =
+    new QdrantClient(
+        QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
+            .withApiKey("<your-api-key")
+            .build());
+
+client
+    .upsertAsync(
+        "{collection_name}",
+        List.of(
+            PointStruct.newBuilder()
+                .setId(id(1))
+                .setVectors(
+                    namedVectors(
+                        Map.of(
+                            "large",
+                            vector(
+                                Document.newBuilder()
+                                    .setModel("openai/text-embedding-3-small")
+                                    .setText("Recipe for baking chocolate chip cookies")
+                                    .putAllOptions(
+                                        Map.of(
+                                            "openai-api-key", value("<YOUR_OPENAI_API_KEY>")))
+                                    .build()),
+                            "small",
+                            vector(
+                                Document.newBuilder()
+                                    .setModel("openai/text-embedding-3-small")
+                                    .setText("Recipe for baking chocolate chip cookies")
+                                    .putAllOptions(
+                                        Map.of(
+                                            "openai-api-key",
+                                            value("<YOUR_OPENAI_API_KEY>"),
+                                            "mrl",
+                                            value(64)))
+                                    .build()))))
+                .build()))
+    .get();
+```
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