Create code snippets for distributed deployment.

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/_description.md

@@ -0,0 +1 @@
+This code snippet creates a collection with shard replication by setting `shard_number` to 6 and `replication_factor` to 2. Each shard is stored on two nodes, which improves resilience and availability when a node goes down.

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/csharp.cs

@@ -0,0 +1,19 @@
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+public class Snippet
+{
+	public static async Task Run()
+	{
+		// @hide-start
+		var client = new QdrantClient("localhost", 6334);
+		// @hide-end
+
+		await client.CreateCollectionAsync(
+			collectionName: "{collection_name}",
+			vectorsConfig: new VectorParams { Size = 300, Distance = Distance.Cosine },
+			shardNumber: 6,
+			replicationFactor: 2
+		);
+	}
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/generated/csharp.md

@@ -0,0 +1,11 @@
+```csharp
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+await client.CreateCollectionAsync(
+	collectionName: "{collection_name}",
+	vectorsConfig: new VectorParams { Size = 300, Distance = Distance.Cosine },
+	shardNumber: 6,
+	replicationFactor: 2
+);
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/generated/go.md

@@ -0,0 +1,17 @@
+```go
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+client.CreateCollection(context.Background(), &qdrant.CreateCollection{
+	CollectionName: "{collection_name}",
+	VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
+		Size:     300,
+		Distance: qdrant.Distance_Cosine,
+	}),
+	ShardNumber:       qdrant.PtrOf(uint32(6)),
+	ReplicationFactor: qdrant.PtrOf(uint32(2)),
+})
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/generated/java.md

@@ -0,0 +1,25 @@
+```java
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Collections.CreateCollection;
+import io.qdrant.client.grpc.Collections.Distance;
+import io.qdrant.client.grpc.Collections.VectorParams;
+import io.qdrant.client.grpc.Collections.VectorsConfig;
+
+client
+    .createCollectionAsync(
+        CreateCollection.newBuilder()
+            .setCollectionName("{collection_name}")
+            .setVectorsConfig(
+                VectorsConfig.newBuilder()
+                    .setParams(
+                        VectorParams.newBuilder()
+                            .setSize(300)
+                            .setDistance(Distance.Cosine)
+                            .build())
+                    .build())
+            .setShardNumber(6)
+            .setReplicationFactor(2)
+            .build())
+    .get();
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/generated/python.md

@@ -0,0 +1,10 @@
+```python
+from qdrant_client import QdrantClient, models
+
+client.create_collection(
+    collection_name="{collection_name}",
+    vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
+    shard_number=6,
+    replication_factor=2,
+)
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/generated/rust.md

@@ -0,0 +1,13 @@
+```rust
+use qdrant_client::qdrant::{CreateCollectionBuilder, Distance, VectorParamsBuilder};
+use qdrant_client::Qdrant;
+
+client
+    .create_collection(
+        CreateCollectionBuilder::new("{collection_name}")
+            .vectors_config(VectorParamsBuilder::new(300, Distance::Cosine))
+            .shard_number(6)
+            .replication_factor(2),
+    )
+    .await?;
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/generated/typescript.md

@@ -0,0 +1,12 @@
+```typescript
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+client.createCollection("{collection_name}", {
+  vectors: {
+    size: 300,
+    distance: "Cosine",
+  },
+  shard_number: 6,
+  replication_factor: 2,
+});
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/go.go

@@ -0,0 +1,28 @@
+package snippet
+
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+func Main() {
+	// @hide-start
+	client, err := qdrant.NewClient(&qdrant.Config{
+		Host: "localhost",
+		Port: 6334,
+	})
+
+	if err != nil { panic(err) }
+	// @hide-end
+
+	client.CreateCollection(context.Background(), &qdrant.CreateCollection{
+		CollectionName: "{collection_name}",
+		VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
+			Size:     300,
+			Distance: qdrant.Distance_Cosine,
+		}),
+		ShardNumber:       qdrant.PtrOf(uint32(6)),
+		ReplicationFactor: qdrant.PtrOf(uint32(2)),
+	})
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/http.md

@@ -0,0 +1,11 @@
+```http
+PUT /collections/{collection_name}
+{
+    "vectors": {
+        "size": 300,
+        "distance": "Cosine"
+    },
+    "shard_number": 6,
+    "replication_factor": 2
+}
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/java.java

@@ -0,0 +1,34 @@
+package com.example.snippets_amalgamation;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Collections.CreateCollection;
+import io.qdrant.client.grpc.Collections.Distance;
+import io.qdrant.client.grpc.Collections.VectorParams;
+import io.qdrant.client.grpc.Collections.VectorsConfig;
+
+public class Snippet {
+	public static void run() throws Exception {
+		// @hide-start
+		QdrantClient client =
+		    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
+		// @hide-end
+
+		client
+		    .createCollectionAsync(
+		        CreateCollection.newBuilder()
+		            .setCollectionName("{collection_name}")
+		            .setVectorsConfig(
+		                VectorsConfig.newBuilder()
+		                    .setParams(
+		                        VectorParams.newBuilder()
+		                            .setSize(300)
+		                            .setDistance(Distance.Cosine)
+		                            .build())
+		                    .build())
+		            .setShardNumber(6)
+		            .setReplicationFactor(2)
+		            .build())
+		    .get();
+	}
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/python.py

@@ -0,0 +1,12 @@
+from qdrant_client import QdrantClient, models
+
+# @hide-start
+client = QdrantClient(url="http://localhost:6333")
+# @hide-end
+
+client.create_collection(
+    collection_name="{collection_name}",
+    vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
+    shard_number=6,
+    replication_factor=2,
+)

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/rust.rs

@@ -0,0 +1,19 @@
+use qdrant_client::qdrant::{CreateCollectionBuilder, Distance, VectorParamsBuilder};
+use qdrant_client::Qdrant;
+
+pub async fn main() -> anyhow::Result<()> {
+    // @hide-start
+    let client = Qdrant::from_url("http://localhost:6334").build()?;
+    // @hide-end
+
+    client
+        .create_collection(
+            CreateCollectionBuilder::new("{collection_name}")
+                .vectors_config(VectorParamsBuilder::new(300, Distance::Cosine))
+                .shard_number(6)
+                .replication_factor(2),
+        )
+        .await?;
+
+    Ok(())
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-replication-factor/typescript.ts

@@ -0,0 +1,14 @@
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+// @hide-start
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+// @hide-end
+
+client.createCollection("{collection_name}", {
+  vectors: {
+    size: 300,
+    distance: "Cosine",
+  },
+  shard_number: 6,
+  replication_factor: 2,
+});

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/_description.md

@@ -0,0 +1 @@
+This code snippet creates a collection split into a specific number of shards by setting `shard_number` to 6. The shard count determines how the collection's data is distributed across nodes and cannot be changed without recreating the collection.

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/csharp.cs

@@ -0,0 +1,18 @@
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+public class Snippet
+{
+	public static async Task Run()
+	{
+		// @hide-start
+		var client = new QdrantClient("localhost", 6334);
+		// @hide-end
+
+		await client.CreateCollectionAsync(
+			collectionName: "{collection_name}",
+			vectorsConfig: new VectorParams { Size = 300, Distance = Distance.Cosine },
+			shardNumber: 6
+		);
+	}
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/generated/csharp.md

@@ -0,0 +1,10 @@
+```csharp
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+await client.CreateCollectionAsync(
+	collectionName: "{collection_name}",
+	vectorsConfig: new VectorParams { Size = 300, Distance = Distance.Cosine },
+	shardNumber: 6
+);
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/generated/go.md

@@ -0,0 +1,16 @@
+```go
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+client.CreateCollection(context.Background(), &qdrant.CreateCollection{
+	CollectionName: "{collection_name}",
+	VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
+		Size:     300,
+		Distance: qdrant.Distance_Cosine,
+	}),
+	ShardNumber: qdrant.PtrOf(uint32(6)),
+})
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/generated/java.md

@@ -0,0 +1,24 @@
+```java
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Collections.CreateCollection;
+import io.qdrant.client.grpc.Collections.Distance;
+import io.qdrant.client.grpc.Collections.VectorParams;
+import io.qdrant.client.grpc.Collections.VectorsConfig;
+
+client
+    .createCollectionAsync(
+        CreateCollection.newBuilder()
+            .setCollectionName("{collection_name}")
+            .setVectorsConfig(
+                VectorsConfig.newBuilder()
+                    .setParams(
+                        VectorParams.newBuilder()
+                            .setSize(300)
+                            .setDistance(Distance.Cosine)
+                            .build())
+                    .build())
+            .setShardNumber(6)
+            .build())
+    .get();
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/generated/python.md

@@ -0,0 +1,9 @@
+```python
+from qdrant_client import QdrantClient, models
+
+client.create_collection(
+    collection_name="{collection_name}",
+    vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
+    shard_number=6,
+)
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/generated/rust.md

@@ -0,0 +1,12 @@
+```rust
+use qdrant_client::qdrant::{CreateCollectionBuilder, Distance, VectorParamsBuilder};
+use qdrant_client::Qdrant;
+
+client
+    .create_collection(
+        CreateCollectionBuilder::new("{collection_name}")
+            .vectors_config(VectorParamsBuilder::new(300, Distance::Cosine))
+            .shard_number(6),
+    )
+    .await?;
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/generated/typescript.md

@@ -0,0 +1,11 @@
+```typescript
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+client.createCollection("{collection_name}", {
+    vectors: {
+        size: 300,
+        distance: "Cosine",
+    },
+    shard_number: 6,
+});
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/go.go

@@ -0,0 +1,27 @@
+package snippet
+
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+func Main() {
+	// @hide-start
+	client, err := qdrant.NewClient(&qdrant.Config{
+		Host: "localhost",
+		Port: 6334,
+	})
+
+	if err != nil { panic(err) }
+	// @hide-end
+
+	client.CreateCollection(context.Background(), &qdrant.CreateCollection{
+		CollectionName: "{collection_name}",
+		VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
+			Size:     300,
+			Distance: qdrant.Distance_Cosine,
+		}),
+		ShardNumber: qdrant.PtrOf(uint32(6)),
+	})
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/http.md

@@ -0,0 +1,10 @@
+```http
+PUT /collections/{collection_name}
+{
+    "vectors": {
+      "size": 300,
+      "distance": "Cosine"
+    },
+    "shard_number": 6
+}
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/java.java

@@ -0,0 +1,33 @@
+package com.example.snippets_amalgamation;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Collections.CreateCollection;
+import io.qdrant.client.grpc.Collections.Distance;
+import io.qdrant.client.grpc.Collections.VectorParams;
+import io.qdrant.client.grpc.Collections.VectorsConfig;
+
+public class Snippet {
+	public static void run() throws Exception {
+		// @hide-start
+		QdrantClient client =
+		    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
+		// @hide-end
+
+		client
+		    .createCollectionAsync(
+		        CreateCollection.newBuilder()
+		            .setCollectionName("{collection_name}")
+		            .setVectorsConfig(
+		                VectorsConfig.newBuilder()
+		                    .setParams(
+		                        VectorParams.newBuilder()
+		                            .setSize(300)
+		                            .setDistance(Distance.Cosine)
+		                            .build())
+		                    .build())
+		            .setShardNumber(6)
+		            .build())
+		    .get();
+	}
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/python.py

@@ -0,0 +1,11 @@
+from qdrant_client import QdrantClient, models
+
+# @hide-start
+client = QdrantClient(url="http://localhost:6333")
+# @hide-end
+
+client.create_collection(
+    collection_name="{collection_name}",
+    vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
+    shard_number=6,
+)

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/rust.rs

@@ -0,0 +1,18 @@
+use qdrant_client::qdrant::{CreateCollectionBuilder, Distance, VectorParamsBuilder};
+use qdrant_client::Qdrant;
+
+pub async fn main() -> anyhow::Result<()> {
+    // @hide-start
+    let client = Qdrant::from_url("http://localhost:6334").build()?;
+    // @hide-end
+
+    client
+        .create_collection(
+            CreateCollectionBuilder::new("{collection_name}")
+                .vectors_config(VectorParamsBuilder::new(300, Distance::Cosine))
+                .shard_number(6),
+        )
+        .await?;
+
+    Ok(())
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-shard-number/typescript.ts

@@ -0,0 +1,13 @@
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+// @hide-start
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+// @hide-end
+
+client.createCollection("{collection_name}", {
+    vectors: {
+        size: 300,
+        distance: "Cosine",
+    },
+    shard_number: 6,
+});

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/_description.md

@@ -0,0 +1 @@
+This code snippet creates a collection configured for stronger write guarantees. It sets `shard_number` to 6, `replication_factor` to 2, and `write_consistency_factor` to 2, so a write operation is only acknowledged once the specified number of replicas confirm it.

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/csharp.cs

@@ -0,0 +1,20 @@
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+public class Snippet
+{
+	public static async Task Run()
+	{
+		// @hide-start
+		var client = new QdrantClient("localhost", 6334);
+		// @hide-end
+
+		await client.CreateCollectionAsync(
+			collectionName: "{collection_name}",
+			vectorsConfig: new VectorParams { Size = 300, Distance = Distance.Cosine },
+			shardNumber: 6,
+			replicationFactor: 2,
+			writeConsistencyFactor: 2
+		);
+	}
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/generated/csharp.md

@@ -0,0 +1,12 @@
+```csharp
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+await client.CreateCollectionAsync(
+	collectionName: "{collection_name}",
+	vectorsConfig: new VectorParams { Size = 300, Distance = Distance.Cosine },
+	shardNumber: 6,
+	replicationFactor: 2,
+	writeConsistencyFactor: 2
+);
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/generated/go.md

@@ -0,0 +1,18 @@
+```go
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+client.CreateCollection(context.Background(), &qdrant.CreateCollection{
+	CollectionName: "{collection_name}",
+	VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
+		Size:     300,
+		Distance: qdrant.Distance_Cosine,
+	}),
+	ShardNumber:            qdrant.PtrOf(uint32(6)),
+	ReplicationFactor:      qdrant.PtrOf(uint32(2)),
+	WriteConsistencyFactor: qdrant.PtrOf(uint32(2)),
+})
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/generated/java.md

@@ -0,0 +1,26 @@
+```java
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Collections.CreateCollection;
+import io.qdrant.client.grpc.Collections.Distance;
+import io.qdrant.client.grpc.Collections.VectorParams;
+import io.qdrant.client.grpc.Collections.VectorsConfig;
+
+client
+    .createCollectionAsync(
+        CreateCollection.newBuilder()
+            .setCollectionName("{collection_name}")
+            .setVectorsConfig(
+                VectorsConfig.newBuilder()
+                    .setParams(
+                        VectorParams.newBuilder()
+                            .setSize(300)
+                            .setDistance(Distance.Cosine)
+                            .build())
+                    .build())
+            .setShardNumber(6)
+            .setReplicationFactor(2)
+            .setWriteConsistencyFactor(2)
+            .build())
+    .get();
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/generated/python.md

@@ -0,0 +1,11 @@
+```python
+from qdrant_client import QdrantClient, models
+
+client.create_collection(
+    collection_name="{collection_name}",
+    vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
+    shard_number=6,
+    replication_factor=2,
+    write_consistency_factor=2,
+)
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/generated/rust.md

@@ -0,0 +1,14 @@
+```rust
+use qdrant_client::qdrant::{CreateCollectionBuilder, Distance, VectorParamsBuilder};
+use qdrant_client::Qdrant;
+
+client
+    .create_collection(
+        CreateCollectionBuilder::new("{collection_name}")
+            .vectors_config(VectorParamsBuilder::new(300, Distance::Cosine))
+            .shard_number(6)
+            .replication_factor(2)
+            .write_consistency_factor(2),
+    )
+    .await?;
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/generated/typescript.md

@@ -0,0 +1,13 @@
+```typescript
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+client.createCollection("{collection_name}", {
+  vectors: {
+    size: 300,
+    distance: "Cosine",
+  },
+  shard_number: 6,
+  replication_factor: 2,
+  write_consistency_factor: 2,
+});
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/go.go

@@ -0,0 +1,29 @@
+package snippet
+
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+func Main() {
+	// @hide-start
+	client, err := qdrant.NewClient(&qdrant.Config{
+		Host: "localhost",
+		Port: 6334,
+	})
+
+	if err != nil { panic(err) }
+	// @hide-end
+
+	client.CreateCollection(context.Background(), &qdrant.CreateCollection{
+		CollectionName: "{collection_name}",
+		VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
+			Size:     300,
+			Distance: qdrant.Distance_Cosine,
+		}),
+		ShardNumber:            qdrant.PtrOf(uint32(6)),
+		ReplicationFactor:      qdrant.PtrOf(uint32(2)),
+		WriteConsistencyFactor: qdrant.PtrOf(uint32(2)),
+	})
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/http.md

@@ -0,0 +1,12 @@
+```http
+PUT /collections/{collection_name}
+{
+    "vectors": {
+        "size": 300,
+        "distance": "Cosine"
+    },
+    "shard_number": 6,
+    "replication_factor": 2,
+    "write_consistency_factor": 2
+}
+```

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/java.java

@@ -0,0 +1,35 @@
+package com.example.snippets_amalgamation;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Collections.CreateCollection;
+import io.qdrant.client.grpc.Collections.Distance;
+import io.qdrant.client.grpc.Collections.VectorParams;
+import io.qdrant.client.grpc.Collections.VectorsConfig;
+
+public class Snippet {
+	public static void run() throws Exception {
+		// @hide-start
+		QdrantClient client =
+		    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
+		// @hide-end
+
+		client
+		    .createCollectionAsync(
+		        CreateCollection.newBuilder()
+		            .setCollectionName("{collection_name}")
+		            .setVectorsConfig(
+		                VectorsConfig.newBuilder()
+		                    .setParams(
+		                        VectorParams.newBuilder()
+		                            .setSize(300)
+		                            .setDistance(Distance.Cosine)
+		                            .build())
+		                    .build())
+		            .setShardNumber(6)
+		            .setReplicationFactor(2)
+		            .setWriteConsistencyFactor(2)
+		            .build())
+		    .get();
+	}
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/python.py

@@ -0,0 +1,13 @@
+from qdrant_client import QdrantClient, models
+
+# @hide-start
+client = QdrantClient(url="http://localhost:6333")
+# @hide-end
+
+client.create_collection(
+    collection_name="{collection_name}",
+    vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
+    shard_number=6,
+    replication_factor=2,
+    write_consistency_factor=2,
+)

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/rust.rs

@@ -0,0 +1,20 @@
+use qdrant_client::qdrant::{CreateCollectionBuilder, Distance, VectorParamsBuilder};
+use qdrant_client::Qdrant;
+
+pub async fn main() -> anyhow::Result<()> {
+    // @hide-start
+    let client = Qdrant::from_url("http://localhost:6334").build()?;
+    // @hide-end
+
+    client
+        .create_collection(
+            CreateCollectionBuilder::new("{collection_name}")
+                .vectors_config(VectorParamsBuilder::new(300, Distance::Cosine))
+                .shard_number(6)
+                .replication_factor(2)
+                .write_consistency_factor(2),
+        )
+        .await?;
+
+    Ok(())
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/with-write-consistency-factor/typescript.ts

@@ -0,0 +1,15 @@
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+// @hide-start
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+// @hide-end
+
+client.createCollection("{collection_name}", {
+  vectors: {
+    size: 300,
+    distance: "Cosine",
+  },
+  shard_number: 6,
+  replication_factor: 2,
+  write_consistency_factor: 2,
+});

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/_description.md

@@ -0,0 +1 @@
+This code snippet upserts a batch of points with a write `ordering` of `strong`. Qdrant routes the operation through the permanent shard leader so that all writes issued with the same ordering are applied and observed sequentially across replicas.

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/csharp.cs

@@ -0,0 +1,38 @@
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+public class Snippet
+{
+	public static async Task Run()
+	{
+		// @hide-start
+		var client = new QdrantClient("localhost", 6334);
+		// @hide-end
+
+		await client.UpsertAsync(
+			collectionName: "{collection_name}",
+			points: new List<PointStruct>
+			{
+				new()
+				{
+					Id = 1,
+					Vectors = new[] { 0.9f, 0.1f, 0.1f },
+					Payload = { ["color"] = "red" }
+				},
+				new()
+				{
+					Id = 2,
+					Vectors = new[] { 0.1f, 0.9f, 0.1f },
+					Payload = { ["color"] = "green" }
+				},
+				new()
+				{
+					Id = 3,
+					Vectors = new[] { 0.1f, 0.1f, 0.9f },
+					Payload = { ["color"] = "blue" }
+				}
+			},
+			ordering: WriteOrderingType.Strong
+		);
+	}
+}

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/generated/csharp.md

@@ -0,0 +1,30 @@
+```csharp
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+await client.UpsertAsync(
+	collectionName: "{collection_name}",
+	points: new List<PointStruct>
+	{
+		new()
+		{
+			Id = 1,
+			Vectors = new[] { 0.9f, 0.1f, 0.1f },
+			Payload = { ["color"] = "red" }
+		},
+		new()
+		{
+			Id = 2,
+			Vectors = new[] { 0.1f, 0.9f, 0.1f },
+			Payload = { ["color"] = "green" }
+		},
+		new()
+		{
+			Id = 3,
+			Vectors = new[] { 0.1f, 0.1f, 0.9f },
+			Payload = { ["color"] = "blue" }
+		}
+	},
+	ordering: WriteOrderingType.Strong
+);
+```

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/generated/go.md

@@ -0,0 +1,31 @@
+```go
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+client.Upsert(context.Background(), &qdrant.UpsertPoints{
+	CollectionName: "{collection_name}",
+	Points: []*qdrant.PointStruct{
+		{
+			Id:      qdrant.NewIDNum(1),
+			Vectors: qdrant.NewVectors(0.9, 0.1, 0.1),
+			Payload: qdrant.NewValueMap(map[string]any{"color": "red"}),
+		},
+		{
+			Id:      qdrant.NewIDNum(2),
+			Vectors: qdrant.NewVectors(0.1, 0.9, 0.1),
+			Payload: qdrant.NewValueMap(map[string]any{"color": "green"}),
+		},
+		{
+			Id:      qdrant.NewIDNum(3),
+			Vectors: qdrant.NewVectors(0.1, 0.1, 0.9),
+			Payload: qdrant.NewValueMap(map[string]any{"color": "blue"}),
+		},
+	},
+	Ordering: &qdrant.WriteOrdering{
+		Type: qdrant.WriteOrderingType_Strong,
+	},
+})
+```

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/generated/java.md

@@ -0,0 +1,40 @@
+```java
+import java.util.List;
+import java.util.Map;
+
+import static io.qdrant.client.PointIdFactory.id;
+import static io.qdrant.client.ValueFactory.value;
+import static io.qdrant.client.VectorsFactory.vectors;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Points.PointStruct;
+import io.qdrant.client.grpc.Points.UpsertPoints;
+import io.qdrant.client.grpc.Points.WriteOrdering;
+import io.qdrant.client.grpc.Points.WriteOrderingType;
+
+client
+    .upsertAsync(
+        UpsertPoints.newBuilder()
+            .setCollectionName("{collection_name}")
+            .addAllPoints(
+                List.of(
+                    PointStruct.newBuilder()
+                        .setId(id(1))
+                        .setVectors(vectors(0.9f, 0.1f, 0.1f))
+                        .putAllPayload(Map.of("color", value("red")))
+                        .build(),
+                    PointStruct.newBuilder()
+                        .setId(id(2))
+                        .setVectors(vectors(0.1f, 0.9f, 0.1f))
+                        .putAllPayload(Map.of("color", value("green")))
+                        .build(),
+                    PointStruct.newBuilder()
+                        .setId(id(3))
+                        .setVectors(vectors(0.1f, 0.1f, 0.9f))
+                        .putAllPayload(Map.of("color", value("blue")))
+                        .build()))
+            .setOrdering(WriteOrdering.newBuilder().setType(WriteOrderingType.Strong).build())
+            .build())
+    .get();
+```

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/generated/python.md

@@ -0,0 +1,21 @@
+```python
+from qdrant_client import QdrantClient, models
+
+client.upsert(
+    collection_name="{collection_name}",
+    points=models.Batch(
+        ids=[1, 2, 3],
+        payloads=[
+            {"color": "red"},
+            {"color": "green"},
+            {"color": "blue"},
+        ],
+        vectors=[
+            [0.9, 0.1, 0.1],
+            [0.1, 0.9, 0.1],
+            [0.1, 0.1, 0.9],
+        ],
+    ),
+    ordering=models.WriteOrdering.STRONG,
+)
+```

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/generated/rust.md

@@ -0,0 +1,22 @@
+```rust
+use qdrant_client::qdrant::{
+    PointStruct, UpsertPointsBuilder, WriteOrdering, WriteOrderingType,
+};
+use qdrant_client::Qdrant;
+
+client
+    .upsert_points(
+        UpsertPointsBuilder::new(
+            "{collection_name}",
+            vec![
+                PointStruct::new(1, vec![0.9, 0.1, 0.1], [("color", "red".into())]),
+                PointStruct::new(2, vec![0.1, 0.9, 0.1], [("color", "green".into())]),
+                PointStruct::new(3, vec![0.1, 0.1, 0.9], [("color", "blue".into())]),
+            ],
+        )
+        .ordering(WriteOrdering {
+            r#type: WriteOrderingType::Strong.into(),
+        }),
+    )
+    .await?;
+```

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/generated/typescript.md

@@ -0,0 +1,16 @@
+```typescript
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+client.upsert("{collection_name}", {
+  batch: {
+    ids: [1, 2, 3],
+    payloads: [{ color: "red" }, { color: "green" }, { color: "blue" }],
+    vectors: [
+      [0.9, 0.1, 0.1],
+      [0.1, 0.9, 0.1],
+      [0.1, 0.1, 0.9],
+    ],
+  },
+  ordering: "strong",
+});
+```

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/go.go

@@ -0,0 +1,42 @@
+package snippet
+
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+func Main() {
+	// @hide-start
+	client, err := qdrant.NewClient(&qdrant.Config{
+		Host: "localhost",
+		Port: 6334,
+	})
+
+	if err != nil { panic(err) }
+	// @hide-end
+
+	client.Upsert(context.Background(), &qdrant.UpsertPoints{
+		CollectionName: "{collection_name}",
+		Points: []*qdrant.PointStruct{
+			{
+				Id:      qdrant.NewIDNum(1),
+				Vectors: qdrant.NewVectors(0.9, 0.1, 0.1),
+				Payload: qdrant.NewValueMap(map[string]any{"color": "red"}),
+			},
+			{
+				Id:      qdrant.NewIDNum(2),
+				Vectors: qdrant.NewVectors(0.1, 0.9, 0.1),
+				Payload: qdrant.NewValueMap(map[string]any{"color": "green"}),
+			},
+			{
+				Id:      qdrant.NewIDNum(3),
+				Vectors: qdrant.NewVectors(0.1, 0.1, 0.9),
+				Payload: qdrant.NewValueMap(map[string]any{"color": "blue"}),
+			},
+		},
+		Ordering: &qdrant.WriteOrdering{
+			Type: qdrant.WriteOrderingType_Strong,
+		},
+	})
+}

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/http.md

@@ -0,0 +1,18 @@
+```http
+PUT /collections/{collection_name}/points?ordering=strong
+{
+    "batch": {
+        "ids": [1, 2, 3],
+        "payloads": [
+            {"color": "red"},
+            {"color": "green"},
+            {"color": "blue"}
+        ],
+        "vectors": [
+            [0.9, 0.1, 0.1],
+            [0.1, 0.9, 0.1],
+            [0.1, 0.1, 0.9]
+        ]
+    }
+}
+```

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/java.java

@@ -0,0 +1,49 @@
+package com.example.snippets_amalgamation;
+
+import java.util.List;
+import java.util.Map;
+
+import static io.qdrant.client.PointIdFactory.id;
+import static io.qdrant.client.ValueFactory.value;
+import static io.qdrant.client.VectorsFactory.vectors;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Points.PointStruct;
+import io.qdrant.client.grpc.Points.UpsertPoints;
+import io.qdrant.client.grpc.Points.WriteOrdering;
+import io.qdrant.client.grpc.Points.WriteOrderingType;
+
+public class Snippet {
+	public static void run() throws Exception {
+		// @hide-start
+		QdrantClient client =
+		    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
+		// @hide-end
+
+		client
+		    .upsertAsync(
+		        UpsertPoints.newBuilder()
+		            .setCollectionName("{collection_name}")
+		            .addAllPoints(
+		                List.of(
+		                    PointStruct.newBuilder()
+		                        .setId(id(1))
+		                        .setVectors(vectors(0.9f, 0.1f, 0.1f))
+		                        .putAllPayload(Map.of("color", value("red")))
+		                        .build(),
+		                    PointStruct.newBuilder()
+		                        .setId(id(2))
+		                        .setVectors(vectors(0.1f, 0.9f, 0.1f))
+		                        .putAllPayload(Map.of("color", value("green")))
+		                        .build(),
+		                    PointStruct.newBuilder()
+		                        .setId(id(3))
+		                        .setVectors(vectors(0.1f, 0.1f, 0.9f))
+		                        .putAllPayload(Map.of("color", value("blue")))
+		                        .build()))
+		            .setOrdering(WriteOrdering.newBuilder().setType(WriteOrderingType.Strong).build())
+		            .build())
+		    .get();
+	}
+}

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/python.py

@@ -0,0 +1,23 @@
+from qdrant_client import QdrantClient, models
+
+# @hide-start
+client = QdrantClient(url="http://localhost:6333")
+# @hide-end
+
+client.upsert(
+    collection_name="{collection_name}",
+    points=models.Batch(
+        ids=[1, 2, 3],
+        payloads=[
+            {"color": "red"},
+            {"color": "green"},
+            {"color": "blue"},
+        ],
+        vectors=[
+            [0.9, 0.1, 0.1],
+            [0.1, 0.9, 0.1],
+            [0.1, 0.1, 0.9],
+        ],
+    ),
+    ordering=models.WriteOrdering.STRONG,
+)

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/rust.rs

@@ -0,0 +1,28 @@
+use qdrant_client::qdrant::{
+    PointStruct, UpsertPointsBuilder, WriteOrdering, WriteOrderingType,
+};
+use qdrant_client::Qdrant;
+
+pub async fn main() -> anyhow::Result<()> {
+    // @hide-start
+    let client = Qdrant::from_url("http://localhost:6334").build()?;
+    // @hide-end
+
+    client
+        .upsert_points(
+            UpsertPointsBuilder::new(
+                "{collection_name}",
+                vec![
+                    PointStruct::new(1, vec![0.9, 0.1, 0.1], [("color", "red".into())]),
+                    PointStruct::new(2, vec![0.1, 0.9, 0.1], [("color", "green".into())]),
+                    PointStruct::new(3, vec![0.1, 0.1, 0.9], [("color", "blue".into())]),
+                ],
+            )
+            .ordering(WriteOrdering {
+                r#type: WriteOrderingType::Strong.into(),
+            }),
+        )
+        .await?;
+
+    Ok(())
+}

qdrant-landing/content/documentation/headless/snippets/insert-points/batch-with-strong-ordering/typescript.ts

@@ -0,0 +1,18 @@
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+// @hide-start
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+// @hide-end
+
+client.upsert("{collection_name}", {
+  batch: {
+    ids: [1, 2, 3],
+    payloads: [{ color: "red" }, { color: "green" }, { color: "blue" }],
+    vectors: [
+      [0.9, 0.1, 0.1],
+      [0.1, 0.9, 0.1],
+      [0.1, 0.1, 0.9],
+    ],
+  },
+  ordering: "strong",
+});

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/_description.md

@@ -0,0 +1 @@
+This code snippet runs a query with a read `consistency` of `majority`. Qdrant queries multiple replicas and returns only the points present on the majority of them, which helps avoid inconsistent results when replicas are concurrently updated.

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/csharp.cs

@@ -0,0 +1,22 @@
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+using static Qdrant.Client.Grpc.Conditions;
+
+public class Snippet
+{
+	public static async Task Run()
+	{
+		// @hide-start
+		var client = new QdrantClient("localhost", 6334);
+		// @hide-end
+
+		await client.QueryAsync(
+			collectionName: "{collection_name}",
+			query: new float[] { 0.2f, 0.1f, 0.9f, 0.7f },
+			filter: MatchKeyword("city", "London"),
+			searchParams: new SearchParams { HnswEf = 128, Exact = false },
+			limit: 3,
+			readConsistency: new ReadConsistency { Type = ReadConsistencyType.Majority }
+		);
+	}
+}

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/generated/csharp.md

@@ -0,0 +1,14 @@
+```csharp
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+using static Qdrant.Client.Grpc.Conditions;
+
+await client.QueryAsync(
+	collectionName: "{collection_name}",
+	query: new float[] { 0.2f, 0.1f, 0.9f, 0.7f },
+	filter: MatchKeyword("city", "London"),
+	searchParams: new SearchParams { HnswEf = 128, Exact = false },
+	limit: 3,
+	readConsistency: new ReadConsistency { Type = ReadConsistencyType.Majority }
+);
+```

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/generated/go.md

@@ -0,0 +1,22 @@
+```go
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+client.Query(context.Background(), &qdrant.QueryPoints{
+	CollectionName: "{collection_name}",
+	Query:          qdrant.NewQuery(0.2, 0.1, 0.9, 0.7),
+	Filter: &qdrant.Filter{
+		Must: []*qdrant.Condition{
+			qdrant.NewMatch("city", "London"),
+		},
+	},
+	Params: &qdrant.SearchParams{
+		HnswEf: qdrant.PtrOf(uint64(128)),
+	},
+	Limit:           qdrant.PtrOf(uint64(3)),
+	ReadConsistency: qdrant.NewReadConsistencyType(qdrant.ReadConsistencyType_Majority),
+})
+```

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/generated/java.md

@@ -0,0 +1,24 @@
+```java
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Common.Filter;
+import io.qdrant.client.grpc.Points.QueryPoints;
+import io.qdrant.client.grpc.Points.ReadConsistency;
+import io.qdrant.client.grpc.Points.ReadConsistencyType;
+import io.qdrant.client.grpc.Points.SearchParams;
+
+import static io.qdrant.client.QueryFactory.nearest;
+import static io.qdrant.client.ConditionFactory.matchKeyword;
+
+client.queryAsync(
+        QueryPoints.newBuilder()
+                .setCollectionName("{collection_name}")
+                .setFilter(Filter.newBuilder().addMust(matchKeyword("city", "London")).build())
+                .setQuery(nearest(.2f, 0.1f, 0.9f, 0.7f))
+                .setParams(SearchParams.newBuilder().setHnswEf(128).setExact(false).build())
+                .setLimit(3)
+                .setReadConsistency(
+                        ReadConsistency.newBuilder().setType(ReadConsistencyType.Majority).build())
+                .build())
+        .get();
+```

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/generated/python.md

@@ -0,0 +1,21 @@
+```python
+from qdrant_client import QdrantClient, models
+
+client.query_points(
+    collection_name="{collection_name}",
+    query=[0.2, 0.1, 0.9, 0.7],
+    query_filter=models.Filter(
+        must=[
+            models.FieldCondition(
+                key="city",
+                match=models.MatchValue(
+                    value="London",
+                ),
+            )
+        ]
+    ),
+    search_params=models.SearchParams(hnsw_ef=128, exact=False),
+    limit=3,
+    consistency="majority",
+)
+```

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/generated/rust.md

@@ -0,0 +1,21 @@
+```rust
+use qdrant_client::qdrant::{
+    read_consistency::Value, Condition, Filter, QueryPointsBuilder, ReadConsistencyType,
+    SearchParamsBuilder,
+};
+use qdrant_client::Qdrant;
+
+client
+    .query(
+        QueryPointsBuilder::new("{collection_name}")
+            .query(vec![0.2, 0.1, 0.9, 0.7])
+            .limit(3)
+            .filter(Filter::must([Condition::matches(
+                "city",
+                "London".to_string(),
+            )]))
+            .params(SearchParamsBuilder::default().hnsw_ef(128).exact(false))
+            .read_consistency(Value::Type(ReadConsistencyType::Majority.into())),
+    )
+    .await?;
+```

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/generated/typescript.md

@@ -0,0 +1,16 @@
+```typescript
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+client.query("{collection_name}", {
+    query: [0.2, 0.1, 0.9, 0.7],
+    filter: {
+        must: [{ key: "city", match: { value: "London" } }],
+    },
+    params: {
+        hnsw_ef: 128,
+        exact: false,
+    },
+    limit: 3,
+    consistency: "majority",
+});
+```

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/go.go

@@ -0,0 +1,33 @@
+package snippet
+
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+func Main() {
+	// @hide-start
+	client, err := qdrant.NewClient(&qdrant.Config{
+		Host: "localhost",
+		Port: 6334,
+	})
+
+	if err != nil { panic(err) }
+	// @hide-end
+
+	client.Query(context.Background(), &qdrant.QueryPoints{
+		CollectionName: "{collection_name}",
+		Query:          qdrant.NewQuery(0.2, 0.1, 0.9, 0.7),
+		Filter: &qdrant.Filter{
+			Must: []*qdrant.Condition{
+				qdrant.NewMatch("city", "London"),
+			},
+		},
+		Params: &qdrant.SearchParams{
+			HnswEf: qdrant.PtrOf(uint64(128)),
+		},
+		Limit:           qdrant.PtrOf(uint64(3)),
+		ReadConsistency: qdrant.NewReadConsistencyType(qdrant.ReadConsistencyType_Majority),
+	})
+}

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/http.md

@@ -0,0 +1,21 @@
+```http
+POST /collections/{collection_name}/points/query?consistency=majority
+{
+    "query": [0.2, 0.1, 0.9, 0.7],
+    "filter": {
+        "must": [
+            {
+                "key": "city",
+                "match": {
+                    "value": "London"
+                }
+            }
+        ]
+    },
+    "params": {
+        "hnsw_ef": 128,
+        "exact": false
+    },
+    "limit": 3
+}
+```

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/java.java

@@ -0,0 +1,33 @@
+package com.example.snippets_amalgamation;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Common.Filter;
+import io.qdrant.client.grpc.Points.QueryPoints;
+import io.qdrant.client.grpc.Points.ReadConsistency;
+import io.qdrant.client.grpc.Points.ReadConsistencyType;
+import io.qdrant.client.grpc.Points.SearchParams;
+
+import static io.qdrant.client.QueryFactory.nearest;
+import static io.qdrant.client.ConditionFactory.matchKeyword;
+
+public class Snippet {
+	public static void run() throws Exception {
+		// @hide-start
+		QdrantClient client =
+		    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
+		// @hide-end
+
+		client.queryAsync(
+		        QueryPoints.newBuilder()
+		                .setCollectionName("{collection_name}")
+		                .setFilter(Filter.newBuilder().addMust(matchKeyword("city", "London")).build())
+		                .setQuery(nearest(.2f, 0.1f, 0.9f, 0.7f))
+		                .setParams(SearchParams.newBuilder().setHnswEf(128).setExact(false).build())
+		                .setLimit(3)
+		                .setReadConsistency(
+		                        ReadConsistency.newBuilder().setType(ReadConsistencyType.Majority).build())
+		                .build())
+		        .get();
+	}
+}

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/python.py

@@ -0,0 +1,26 @@
+# @hide-start
+# mypy: disable-error-code="arg-type"
+# @hide-end
+from qdrant_client import QdrantClient, models
+
+# @hide-start
+client = QdrantClient(url="http://localhost:6333")
+# @hide-end
+
+client.query_points(
+    collection_name="{collection_name}",
+    query=[0.2, 0.1, 0.9, 0.7],
+    query_filter=models.Filter(
+        must=[
+            models.FieldCondition(
+                key="city",
+                match=models.MatchValue(
+                    value="London",
+                ),
+            )
+        ]
+    ),
+    search_params=models.SearchParams(hnsw_ef=128, exact=False),
+    limit=3,
+    consistency="majority",
+)

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/rust.rs

@@ -0,0 +1,27 @@
+use qdrant_client::qdrant::{
+    read_consistency::Value, Condition, Filter, QueryPointsBuilder, ReadConsistencyType,
+    SearchParamsBuilder,
+};
+use qdrant_client::Qdrant;
+
+pub async fn main() -> anyhow::Result<()> {
+    // @hide-start
+    let client = Qdrant::from_url("http://localhost:6334").build()?;
+    // @hide-end
+
+    client
+        .query(
+            QueryPointsBuilder::new("{collection_name}")
+                .query(vec![0.2, 0.1, 0.9, 0.7])
+                .limit(3)
+                .filter(Filter::must([Condition::matches(
+                    "city",
+                    "London".to_string(),
+                )]))
+                .params(SearchParamsBuilder::default().hnsw_ef(128).exact(false))
+                .read_consistency(Value::Type(ReadConsistencyType::Majority.into())),
+        )
+        .await?;
+
+    Ok(())
+}

qdrant-landing/content/documentation/headless/snippets/query-points/with-consistency-majority/typescript.ts

@@ -0,0 +1,18 @@
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+// @hide-start
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+// @hide-end
+
+client.query("{collection_name}", {
+    query: [0.2, 0.1, 0.9, 0.7],
+    filter: {
+        must: [{ key: "city", match: { value: "London" } }],
+    },
+    params: {
+        hnsw_ef: 128,
+        exact: false,
+    },
+    limit: 3,
+    consistency: "majority",
+});

qdrant-landing/content/documentation/scaling/consistency-guarantees.md

@@ -30,134 +30,7 @@ collection parameters.
 
 This value can range from 1 to the number of replicas you have for each shard.
 
-```http
+{{< code-snippet path="/documentation/headless/snippets/create-collection/with-write-consistency-factor/" >}}
-PUT /collections/{collection_name}
-{
-    "vectors": {
-        "size": 300,
-        "distance": "Cosine"
-    },
-    "shard_number": 6,
-    "replication_factor": 2,
-    "write_consistency_factor": 2
-}
-```
-
-```python
-from qdrant_client import QdrantClient, models
-
-client = QdrantClient(url="http://localhost:6333")
-
-client.create_collection(
-    collection_name="{collection_name}",
-    vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
-    shard_number=6,
-    replication_factor=2,
-    write_consistency_factor=2,
-)
-```
-
-```typescript
-import { QdrantClient } from "@qdrant/js-client-rest";
-
-const client = new QdrantClient({ host: "localhost", port: 6333 });
-
-client.createCollection("{collection_name}", {
-  vectors: {
-    size: 300,
-    distance: "Cosine",
-  },
-  shard_number: 6,
-  replication_factor: 2,
-  write_consistency_factor: 2,
-});
-```
-
-```rust
-use qdrant_client::qdrant::{CreateCollectionBuilder, Distance, VectorParamsBuilder};
-use qdrant_client::Qdrant;
-
-let client = Qdrant::from_url("http://localhost:6334").build()?;
-
-client
-    .create_collection(
-        CreateCollectionBuilder::new("{collection_name}")
-            .vectors_config(VectorParamsBuilder::new(300, Distance::Cosine))
-            .shard_number(6)
-            .replication_factor(2)
-            .write_consistency_factor(2),
-    )
-    .await?;
-```
-
-```java
-import io.qdrant.client.QdrantClient;
-import io.qdrant.client.QdrantGrpcClient;
-import io.qdrant.client.grpc.Collections.CreateCollection;
-import io.qdrant.client.grpc.Collections.Distance;
-import io.qdrant.client.grpc.Collections.VectorParams;
-import io.qdrant.client.grpc.Collections.VectorsConfig;
-
-QdrantClient client =
-    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
-
-client
-    .createCollectionAsync(
-        CreateCollection.newBuilder()
-            .setCollectionName("{collection_name}")
-            .setVectorsConfig(
-                VectorsConfig.newBuilder()
-                    .setParams(
-                        VectorParams.newBuilder()
-                            .setSize(300)
-                            .setDistance(Distance.Cosine)
-                            .build())
-                    .build())
-            .setShardNumber(6)
-            .setReplicationFactor(2)
-            .setWriteConsistencyFactor(2)
-            .build())
-    .get();
-```
-
-```csharp
-using Qdrant.Client;
-using Qdrant.Client.Grpc;
-
-var client = new QdrantClient("localhost", 6334);
-
-await client.CreateCollectionAsync(
-	collectionName: "{collection_name}",
-	vectorsConfig: new VectorParams { Size = 300, Distance = Distance.Cosine },
-	shardNumber: 6,
-	replicationFactor: 2,
-	writeConsistencyFactor: 2
-);
-```
-
-```go
-import (
-	"context"
-
-	"github.com/qdrant/go-client/qdrant"
-)
-
-client, err := qdrant.NewClient(&qdrant.Config{
-	Host: "localhost",
-	Port: 6334,
-})
-
-client.CreateCollection(context.Background(), &qdrant.CreateCollection{
-	CollectionName: "{collection_name}",
-	VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
-		Size:     300,
-		Distance: qdrant.Distance_Cosine,
-	}),
-	ShardNumber:            qdrant.PtrOf(uint32(6)),
-	ReplicationFactor:      qdrant.PtrOf(uint32(2)),
-	WriteConsistencyFactor: qdrant.PtrOf(uint32(2)),
-})
-```
 
 Write operations will fail if the number of active replicas is less than the
 `write_consistency_factor`. In this case, the client is expected to send the
@@ -190,159 +63,7 @@ is consistent across cluster nodes.
 - `1`/`2`/`3`/etc - will query specified number of randomly selected nodes and return points which present on all of them
 - default `consistency` is `1`
 
-```http
+{{< code-snippet path="/documentation/headless/snippets/query-points/with-consistency-majority/" >}}
-POST /collections/{collection_name}/points/query?consistency=majority
-{
-    "query": [0.2, 0.1, 0.9, 0.7],
-    "filter": {
-        "must": [
-            {
-                "key": "city",
-                "match": {
-                    "value": "London"
-                }
-            }
-        ]
-    },
-    "params": {
-        "hnsw_ef": 128,
-        "exact": false
-    },
-    "limit": 3
-}
-```
-
-```python
-client.query_points(
-    collection_name="{collection_name}",
-    query=[0.2, 0.1, 0.9, 0.7],
-    query_filter=models.Filter(
-        must=[
-            models.FieldCondition(
-                key="city",
-                match=models.MatchValue(
-                    value="London",
-                ),
-            )
-        ]
-    ),
-    search_params=models.SearchParams(hnsw_ef=128, exact=False),
-    limit=3,
-    consistency="majority",
-)
-```
-
-```typescript
-client.query("{collection_name}", {
-    query: [0.2, 0.1, 0.9, 0.7],
-    filter: {
-        must: [{ key: "city", match: { value: "London" } }],
-    },
-    params: {
-        hnsw_ef: 128,
-        exact: false,
-    },
-    limit: 3,
-    consistency: "majority",
-});
-```
-
-```rust
-use qdrant_client::qdrant::{
-    read_consistency::Value, Condition, Filter, QueryPointsBuilder, ReadConsistencyType,
-    SearchParamsBuilder,
-};
-use qdrant_client::{Qdrant, QdrantError};
-
-let client = Qdrant::from_url("http://localhost:6334").build()?;
-
-client
-    .query(
-        QueryPointsBuilder::new("{collection_name}")
-            .query(vec![0.2, 0.1, 0.9, 0.7])
-            .limit(3)
-            .filter(Filter::must([Condition::matches(
-                "city",
-                "London".to_string(),
-            )]))
-            .params(SearchParamsBuilder::default().hnsw_ef(128).exact(false))
-            .read_consistency(Value::Type(ReadConsistencyType::Majority.into())),
-    )
-    .await?;
-```
-
-```java
-import io.qdrant.client.QdrantClient;
-import io.qdrant.client.QdrantGrpcClient;
-import io.qdrant.client.grpc.Common.Filter;
-import io.qdrant.client.grpc.Points.QueryPoints;
-import io.qdrant.client.grpc.Points.ReadConsistency;
-import io.qdrant.client.grpc.Points.ReadConsistencyType;
-import io.qdrant.client.grpc.Points.SearchParams;
-
-import static io.qdrant.client.QueryFactory.nearest;
-import static io.qdrant.client.ConditionFactory.matchKeyword;
-
-QdrantClient client =
-    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
-
-client.queryAsync(
-        QueryPoints.newBuilder()
-                .setCollectionName("{collection_name}")
-                .setFilter(Filter.newBuilder().addMust(matchKeyword("city", "London")).build())
-                .setQuery(nearest(.2f, 0.1f, 0.9f, 0.7f))
-                .setParams(SearchParams.newBuilder().setHnswEf(128).setExact(false).build())
-                .setLimit(3)
-                .setReadConsistency(
-                        ReadConsistency.newBuilder().setType(ReadConsistencyType.Majority).build())
-                .build())
-        .get();
-```
-
-```csharp
-using Qdrant.Client;
-using Qdrant.Client.Grpc;
-using static Qdrant.Client.Grpc.Conditions;
-
-var client = new QdrantClient("localhost", 6334);
-
-await client.QueryAsync(
-	collectionName: "{collection_name}",
-	query: new float[] { 0.2f, 0.1f, 0.9f, 0.7f },
-	filter: MatchKeyword("city", "London"),
-	searchParams: new SearchParams { HnswEf = 128, Exact = false },
-	limit: 3,
-	readConsistency: new ReadConsistency { Type = ReadConsistencyType.Majority }
-);
-```
-
-```go
-import (
-	"context"
-
-	"github.com/qdrant/go-client/qdrant"
-)
-
-client, err := qdrant.NewClient(&qdrant.Config{
-	Host: "localhost",
-	Port: 6334,
-})
-
-client.Query(context.Background(), &qdrant.QueryPoints{
-	CollectionName: "{collection_name}",
-	Query:          qdrant.NewQuery(0.2, 0.1, 0.9, 0.7),
-	Filter: &qdrant.Filter{
-		Must: []*qdrant.Condition{
-			qdrant.NewMatch("city", "London"),
-		},
-	},
-	Params: &qdrant.SearchParams{
-		HnswEf: qdrant.PtrOf(uint64(128)),
-	},
-	Limit:           qdrant.PtrOf(uint64(3)),
-	ReadConsistency: qdrant.NewReadConsistencyType(qdrant.ReadConsistencyType_Majority),
-})
-```
 
 ## Write Ordering
 
@@ -356,190 +77,4 @@ sequentially.
 
 <aside role="status">Some <a href="/documentation/scaling/distributed_deployment/#shard-transfer-method">shard transfer methods</a> may affect ordering guarantees.</aside>
 
-```http
+{{< code-snippet path="/documentation/headless/snippets/insert-points/batch-with-strong-ordering/" >}}
-PUT /collections/{collection_name}/points?ordering=strong
-{
-    "batch": {
-        "ids": [1, 2, 3],
-        "payloads": [
-            {"color": "red"},
-            {"color": "green"},
-            {"color": "blue"}
-        ],
-        "vectors": [
-            [0.9, 0.1, 0.1],
-            [0.1, 0.9, 0.1],
-            [0.1, 0.1, 0.9]
-        ]
-    }
-}
-```
-
-```python
-client.upsert(
-    collection_name="{collection_name}",
-    points=models.Batch(
-        ids=[1, 2, 3],
-        payloads=[
-            {"color": "red"},
-            {"color": "green"},
-            {"color": "blue"},
-        ],
-        vectors=[
-            [0.9, 0.1, 0.1],
-            [0.1, 0.9, 0.1],
-            [0.1, 0.1, 0.9],
-        ],
-    ),
-    ordering=models.WriteOrdering.STRONG,
-)
-```
-
-```typescript
-client.upsert("{collection_name}", {
-  batch: {
-    ids: [1, 2, 3],
-    payloads: [{ color: "red" }, { color: "green" }, { color: "blue" }],
-    vectors: [
-      [0.9, 0.1, 0.1],
-      [0.1, 0.9, 0.1],
-      [0.1, 0.1, 0.9],
-    ],
-  },
-  ordering: "strong",
-});
-```
-
-```rust
-use qdrant_client::qdrant::{
-    PointStruct, UpsertPointsBuilder, WriteOrdering, WriteOrderingType
-};
-use qdrant_client::Qdrant;
-
-let client = Qdrant::from_url("http://localhost:6334").build()?;
-
-client
-    .upsert_points(
-        UpsertPointsBuilder::new(
-            "{collection_name}",
-            vec![
-                PointStruct::new(1, vec![0.9, 0.1, 0.1], [("color", "red".into())]),
-                PointStruct::new(2, vec![0.1, 0.9, 0.1], [("color", "green".into())]),
-                PointStruct::new(3, vec![0.1, 0.1, 0.9], [("color", "blue".into())]),
-            ],
-        )
-        .ordering(WriteOrdering {
-            r#type: WriteOrderingType::Strong.into(),
-        }),
-    )
-    .await?;
-```
-
-```java
-import java.util.List;
-import java.util.Map;
-
-import static io.qdrant.client.PointIdFactory.id;
-import static io.qdrant.client.ValueFactory.value;
-import static io.qdrant.client.VectorsFactory.vectors;
-
-import io.qdrant.client.grpc.Points.PointStruct;
-import io.qdrant.client.grpc.Points.UpsertPoints;
-import io.qdrant.client.grpc.Points.WriteOrdering;
-import io.qdrant.client.grpc.Points.WriteOrderingType;
-
-client
-    .upsertAsync(
-        UpsertPoints.newBuilder()
-            .setCollectionName("{collection_name}")
-            .addAllPoints(
-                List.of(
-                    PointStruct.newBuilder()
-                        .setId(id(1))
-                        .setVectors(vectors(0.9f, 0.1f, 0.1f))
-                        .putAllPayload(Map.of("color", value("red")))
-                        .build(),
-                    PointStruct.newBuilder()
-                        .setId(id(2))
-                        .setVectors(vectors(0.1f, 0.9f, 0.1f))
-                        .putAllPayload(Map.of("color", value("green")))
-                        .build(),
-                    PointStruct.newBuilder()
-                        .setId(id(3))
-                        .setVectors(vectors(0.1f, 0.1f, 0.94f))
-                        .putAllPayload(Map.of("color", value("blue")))
-                        .build()))
-            .setOrdering(WriteOrdering.newBuilder().setType(WriteOrderingType.Strong).build())
-            .build())
-    .get();
-```
-
-```csharp
-using Qdrant.Client;
-using Qdrant.Client.Grpc;
-
-var client = new QdrantClient("localhost", 6334);
-
-await client.UpsertAsync(
-	collectionName: "{collection_name}",
-	points: new List<PointStruct>
-	{
-		new()
-		{
-			Id = 1,
-			Vectors = new[] { 0.9f, 0.1f, 0.1f },
-			Payload = { ["color"] = "red" }
-		},
-		new()
-		{
-			Id = 2,
-			Vectors = new[] { 0.1f, 0.9f, 0.1f },
-			Payload = { ["color"] = "green" }
-		},
-		new()
-		{
-			Id = 3,
-			Vectors = new[] { 0.1f, 0.1f, 0.9f },
-			Payload = { ["color"] = "blue" }
-		}
-	},
-	ordering: WriteOrderingType.Strong
-);
-```
-
-```go
-import (
-	"context"
-
-	"github.com/qdrant/go-client/qdrant"
-)
-
-client, err := qdrant.NewClient(&qdrant.Config{
-	Host: "localhost",
-	Port: 6334,
-})
-
-client.Upsert(context.Background(), &qdrant.UpsertPoints{
-	CollectionName: "{collection_name}",
-	Points: []*qdrant.PointStruct{
-		{
-			Id:      qdrant.NewIDNum(1),
-			Vectors: qdrant.NewVectors(0.9, 0.1, 0.1),
-			Payload: qdrant.NewValueMap(map[string]any{"color": "red"}),
-		},
-		{
-			Id:      qdrant.NewIDNum(2),
-			Vectors: qdrant.NewVectors(0.1, 0.9, 0.1),
-			Payload: qdrant.NewValueMap(map[string]any{"color": "green"}),
-		},
-		{
-			Id:      qdrant.NewIDNum(3),
-			Vectors: qdrant.NewVectors(0.1, 0.1, 0.9),
-			Payload: qdrant.NewValueMap(map[string]any{"color": "blue"}),
-		},
-	},
-	Ordering: &qdrant.WriteOrdering{
-		Type: qdrant.WriteOrderingType_Strong,
-	},
-})
-```

qdrant-landing/content/documentation/scaling/distributed_deployment.md

@@ -142,120 +142,7 @@ Qdrant distributes a collection's points across shards to scale horizontally. Fo
 
 When you create a collection, Qdrant splits the collection into `shard_number` shards. If left unset, `shard_number` is set to the number of nodes in your cluster when the collection was created. The `shard_number` cannot be changed without recreating the collection.
 
-```http
+{{< code-snippet path="/documentation/headless/snippets/create-collection/with-shard-number/" >}}
-PUT /collections/{collection_name}
-{
-    "vectors": {
-      "size": 300,
-      "distance": "Cosine"
-    },
-    "shard_number": 6
-}
-```
-
-```python
-from qdrant_client import QdrantClient, models
-
-client = QdrantClient(url="http://localhost:6333")
-
-client.create_collection(
-    collection_name="{collection_name}",
-    vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
-    shard_number=6,
-)
-```
-
-```typescript
-import { QdrantClient } from "@qdrant/js-client-rest";
-
-const client = new QdrantClient({ host: "localhost", port: 6333 });
-
-client.createCollection("{collection_name}", {
-    vectors: {
-        size: 300,
-        distance: "Cosine",
-    },
-    shard_number: 6,
-});
-```
-
-```rust
-use qdrant_client::qdrant::{CreateCollectionBuilder, Distance, VectorParamsBuilder};
-use qdrant_client::Qdrant;
-
-let client = Qdrant::from_url("http://localhost:6334").build()?;
-
-client
-    .create_collection(
-        CreateCollectionBuilder::new("{collection_name}")
-            .vectors_config(VectorParamsBuilder::new(300, Distance::Cosine))
-            .shard_number(6),
-    )
-    .await?;
-```
-
-```java
-import io.qdrant.client.QdrantClient;
-import io.qdrant.client.QdrantGrpcClient;
-import io.qdrant.client.grpc.Collections.CreateCollection;
-import io.qdrant.client.grpc.Collections.Distance;
-import io.qdrant.client.grpc.Collections.VectorParams;
-import io.qdrant.client.grpc.Collections.VectorsConfig;
-
-QdrantClient client =
-    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
-
-client
-    .createCollectionAsync(
-        CreateCollection.newBuilder()
-            .setCollectionName("{collection_name}")
-            .setVectorsConfig(
-                VectorsConfig.newBuilder()
-                    .setParams(
-                        VectorParams.newBuilder()
-                            .setSize(300)
-                            .setDistance(Distance.Cosine)
-                            .build())
-                    .build())
-            .setShardNumber(6)
-            .build())
-    .get();
-```
-
-```csharp
-using Qdrant.Client;
-using Qdrant.Client.Grpc;
-
-var client = new QdrantClient("localhost", 6334);
-
-await client.CreateCollectionAsync(
-	collectionName: "{collection_name}",
-	vectorsConfig: new VectorParams { Size = 300, Distance = Distance.Cosine },
-	shardNumber: 6
-);
-```
-
-```go
-import (
-	"context"
-
-	"github.com/qdrant/go-client/qdrant"
-)
-
-client, err := qdrant.NewClient(&qdrant.Config{
-	Host: "localhost",
-	Port: 6334,
-})
-
-client.CreateCollection(context.Background(), &qdrant.CreateCollection{
-	CollectionName: "{collection_name}",
-	VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
-		Size:     300,
-		Distance: qdrant.Distance_Cosine,
-	}),
-	ShardNumber: qdrant.PtrOf(uint32(6)),
-})
-```
 
 To ensure all nodes in your cluster are evenly utilized, the number of shards must be a multiple of the number of nodes you are currently running in your cluster.
 
@@ -486,127 +373,7 @@ When you create a collection, you can control how many shard replicas you'd like
 
 The `replication_factor` can be updated for an existing collection, but the effect of this depends on how you're running Qdrant. If you're hosting the open source version of Qdrant yourself, changing the replication factor after collection creation doesn't do anything. You can manually [create](#creating-new-shard-replicas) or drop shard replicas to achieve your desired replication factor. In Qdrant Cloud (including Hybrid Cloud, Private Cloud) your shards will automatically be replicated or dropped to match your configured replication factor.
 
-```http
+{{< code-snippet path="/documentation/headless/snippets/create-collection/with-replication-factor/" >}}
-PUT /collections/{collection_name}
-{
-    "vectors": {
-        "size": 300,
-        "distance": "Cosine"
-    },
-    "shard_number": 6,
-    "replication_factor": 2
-}
-```
-
-```python
-from qdrant_client import QdrantClient, models
-
-client = QdrantClient(url="http://localhost:6333")
-
-client.create_collection(
-    collection_name="{collection_name}",
-    vectors_config=models.VectorParams(size=300, distance=models.Distance.COSINE),
-    shard_number=6,
-    replication_factor=2,
-)
-```
-
-```typescript
-import { QdrantClient } from "@qdrant/js-client-rest";
-
-const client = new QdrantClient({ host: "localhost", port: 6333 });
-
-client.createCollection("{collection_name}", {
-  vectors: {
-    size: 300,
-    distance: "Cosine",
-  },
-  shard_number: 6,
-  replication_factor: 2,
-});
-```
-
-```rust
-use qdrant_client::qdrant::{CreateCollectionBuilder, Distance, VectorParamsBuilder};
-use qdrant_client::Qdrant;
-
-let client = Qdrant::from_url("http://localhost:6334").build()?;
-
-client
-    .create_collection(
-        CreateCollectionBuilder::new("{collection_name}")
-            .vectors_config(VectorParamsBuilder::new(300, Distance::Cosine))
-            .shard_number(6)
-            .replication_factor(2),
-    )
-    .await?;
-```
-
-```java
-import io.qdrant.client.QdrantClient;
-import io.qdrant.client.QdrantGrpcClient;
-import io.qdrant.client.grpc.Collections.CreateCollection;
-import io.qdrant.client.grpc.Collections.Distance;
-import io.qdrant.client.grpc.Collections.VectorParams;
-import io.qdrant.client.grpc.Collections.VectorsConfig;
-
-QdrantClient client =
-    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
-
-client
-    .createCollectionAsync(
-        CreateCollection.newBuilder()
-            .setCollectionName("{collection_name}")
-            .setVectorsConfig(
-                VectorsConfig.newBuilder()
-                    .setParams(
-                        VectorParams.newBuilder()
-                            .setSize(300)
-                            .setDistance(Distance.Cosine)
-                            .build())
-                    .build())
-            .setShardNumber(6)
-            .setReplicationFactor(2)
-            .build())
-    .get();
-```
-
-```csharp
-using Qdrant.Client;
-using Qdrant.Client.Grpc;
-
-var client = new QdrantClient("localhost", 6334);
-
-await client.CreateCollectionAsync(
-	collectionName: "{collection_name}",
-	vectorsConfig: new VectorParams { Size = 300, Distance = Distance.Cosine },
-	shardNumber: 6,
-	replicationFactor: 2
-);
-```
-
-```go
-import (
-	"context"
-
-	"github.com/qdrant/go-client/qdrant"
-)
-
-client, err := qdrant.NewClient(&qdrant.Config{
-	Host: "localhost",
-	Port: 6334,
-})
-
-client.CreateCollection(context.Background(), &qdrant.CreateCollection{
-	CollectionName: "{collection_name}",
-	VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
-		Size:     300,
-		Distance: qdrant.Distance_Cosine,
-	}),
-	ShardNumber:       qdrant.PtrOf(uint32(6)),
-	ReplicationFactor: qdrant.PtrOf(uint32(2)),
-})
-```
 
 This code sample creates a collection with a total of 6 logical shards backed by a total of 12 physical shards.