Automated snippet conversion by scripts

These changes are purely mechanical to differentiate them from manual
fixes/adjustments made in the next commit.
This results in broken code as some snippets contain errors.

Made in four steps:
1. Run ./migrate-snippet.py that converts `.md` files to code files
   and perhaps adds missing lines under `// @hide` comments.
2. Sort Java imports.
3. Remove old `.md` files.
4. Run ./generate.md to produce `*/generated/*.md` files.

qdrant-landing/content/documentation/headless/snippets/create-collection/scalar-quantization-in-ram/csharp.cs

@@ -0,0 +1,19 @@
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+public class Snippet
+{
+	public static async Task Run()
+	{
+		var client = new QdrantClient("localhost", 6334);
+
+		await client.CreateCollectionAsync(
+			collectionName: "{collection_name}",
+			vectorsConfig: new VectorParams { Size = 768, Distance = Distance.Cosine, OnDisk = true },
+			quantizationConfig: new QuantizationConfig
+			{
+				Scalar = new ScalarQuantization { Type = QuantizationType.Int8, AlwaysRam = true }
+			}
+		);
+	}
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/scalar-quantization-in-ram/go.go

@@ -0,0 +1,27 @@
+package snippet
+
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+func Main() {
+	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:     768,
+			Distance: qdrant.Distance_Cosine,
+			OnDisk:   qdrant.PtrOf(true),
+		}),
+		QuantizationConfig: qdrant.NewQuantizationScalar(&qdrant.ScalarQuantization{
+			Type:      qdrant.QuantizationType_Int8,
+			AlwaysRam: qdrant.PtrOf(true),
+		}),
+	})
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/scalar-quantization-in-ram/java.java

@@ -0,0 +1,43 @@
+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.OptimizersConfigDiff;
+import io.qdrant.client.grpc.Collections.QuantizationConfig;
+import io.qdrant.client.grpc.Collections.QuantizationType;
+import io.qdrant.client.grpc.Collections.ScalarQuantization;
+import io.qdrant.client.grpc.Collections.VectorParams;
+import io.qdrant.client.grpc.Collections.VectorsConfig;
+
+public class Snippet {
+        public static void run() throws Exception {
+                QdrantClient client =
+                    new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
+
+                client
+                    .createCollectionAsync(
+                        CreateCollection.newBuilder()
+                            .setCollectionName("{collection_name}")
+                            .setVectorsConfig(
+                                VectorsConfig.newBuilder()
+                                    .setParams(
+                                        VectorParams.newBuilder()
+                                            .setSize(768)
+                                            .setDistance(Distance.Cosine)
+                                            .setOnDisk(true)
+                                            .build())
+                                    .build())
+                            .setQuantizationConfig(
+                                QuantizationConfig.newBuilder()
+                                    .setScalar(
+                                        ScalarQuantization.newBuilder()
+                                            .setType(QuantizationType.Int8)
+                                            .setAlwaysRam(true)
+                                            .build())
+                                    .build())
+                            .build())
+                    .get();
+        }
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/scalar-quantization-in-ram/python.py

@@ -0,0 +1,14 @@
+from qdrant_client import QdrantClient, models
+
+client = QdrantClient(url="http://localhost:6333")
+
+client.create_collection(
+    collection_name="{collection_name}",
+    vectors_config=models.VectorParams(size=768, distance=models.Distance.COSINE, on_disk=True),
+    quantization_config=models.ScalarQuantization(
+        scalar=models.ScalarQuantizationConfig(
+            type=models.ScalarType.INT8,
+            always_ram=True,
+        ),
+    ),
+)

qdrant-landing/content/documentation/headless/snippets/create-collection/scalar-quantization-in-ram/rust.rs

@@ -0,0 +1,23 @@
+use qdrant_client::qdrant::{
+    CreateCollectionBuilder, Distance, QuantizationType, ScalarQuantizationBuilder,
+    VectorParamsBuilder,
+};
+use qdrant_client::Qdrant;
+
+pub async fn main() -> anyhow::Result<()> {
+    let client = Qdrant::from_url("http://localhost:6334").build()?;
+
+    client
+        .create_collection(
+            CreateCollectionBuilder::new("{collection_name}")
+                .vectors_config(VectorParamsBuilder::new(768, Distance::Cosine))
+                .quantization_config(
+                    ScalarQuantizationBuilder::default()
+                        .r#type(QuantizationType::Int8.into())
+                        .always_ram(true),
+                ),
+        )
+        .await?;
+
+    Ok(())
+}

qdrant-landing/content/documentation/headless/snippets/create-collection/scalar-quantization-in-ram/typescript.ts

@@ -0,0 +1,17 @@
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+
+client.createCollection("{collection_name}", {
+  vectors: {
+    size: 768,
+    distance: "Cosine",
+    on_disk: true,
+  },
+  quantization_config: {
+    scalar: {
+      type: "int8",
+      always_ram: true,
+    },
+  },
+});