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/inference/query/csharp.cs

@@ -0,0 +1,21 @@
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+public class Snippet
+{
+	public static async Task Run()
+	{
+		var client = new QdrantClient(
+		  host: "xyz-example.qdrant.io",
+		  port: 6334,
+		  https: true,
+		  apiKey: "<your-api-key>"
+		);
+
+		await client.QueryAsync(
+		    collectionName: "{collection_name}",
+		    query: new Document() { Model = "qdrant/bm25", Text = "How to bake cookies?" },
+		    usingVector: "my-bm25-vector"
+		);
+	}
+}

qdrant-landing/content/documentation/headless/snippets/inference/query/generated/go.md

@@ -23,4 +23,4 @@ client.Query(ctx, &qdrant.QueryPoints{
 	),
 	Using: qdrant.PtrOf("my-bm25-vector"),
 })
-```
+```

qdrant-landing/content/documentation/headless/snippets/inference/query/generated/java.md

@@ -3,8 +3,8 @@ import static io.qdrant.client.QueryFactory.nearest;
 
 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;
 
 QdrantClient client =
     new QdrantClient(
@@ -24,4 +24,4 @@ client
             .setUsing("my-bm25-vector")
             .build())
     .get();
-```
+```

qdrant-landing/content/documentation/headless/snippets/inference/query/generated/python.md

@@ -15,4 +15,4 @@ client.query_points(
     ),
     using="my-bm25-vector",
 )
-```
+```

qdrant-landing/content/documentation/headless/snippets/inference/query/go.go

@@ -0,0 +1,28 @@
+package snippet
+
+import (
+	"context"
+	"time"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+func Main() {
+	client, err := qdrant.NewClient(&qdrant.Config{
+		Host:   "xyz-example.qdrant.io",
+		Port:   6334,
+		APIKey: "<paste-your-api-key-here>",
+		UseTLS: true,
+	})
+
+	client.Query(ctx, &qdrant.QueryPoints{
+		CollectionName: "{collection_name}",
+		Query: qdrant.NewQueryNearest(
+			qdrant.NewVectorInputDocument(&qdrant.Document{
+				Model: "qdrant/bm25",
+				Text:  "How to bake cookies?",
+			}),
+		),
+		Using: qdrant.PtrOf("my-bm25-vector"),
+	})
+}

qdrant-landing/content/documentation/headless/snippets/inference/query/java.java

@@ -0,0 +1,31 @@
+package com.example.snippets_amalgamation;
+
+import static io.qdrant.client.QueryFactory.nearest;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Points.Document;
+import io.qdrant.client.grpc.Points;
+
+public class Snippet {
+        public static void run() throws Exception {
+                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}")
+                            .setQuery(
+                                nearest(
+                                    Document.newBuilder()
+                                        .setModel("qdrant/bm25")
+                                        .setText("How to bake cookies?")
+                                        .build()))
+                            .setUsing("my-bm25-vector")
+                            .build())
+                    .get();
+        }
+}

qdrant-landing/content/documentation/headless/snippets/inference/query/python.py

@@ -0,0 +1,16 @@
+from qdrant_client import QdrantClient, models
+
+client = QdrantClient(
+    url="https://xyz-example.qdrant.io:6333", 
+    api_key="<your-api-key>", 
+    cloud_inference=True
+)
+
+client.query_points(
+    collection_name="{collection_name}",
+    query=models.Document(
+        text="How to bake cookies?", 
+        model="Qdrant/bm25",
+    ),
+    using="my-bm25-vector",
+)

qdrant-landing/content/documentation/headless/snippets/inference/query/rust.rs

@@ -0,0 +1,23 @@
+use qdrant_client::{
+    Qdrant, QdrantError,
+    qdrant::{Document, Query, QueryPointsBuilder},
+};
+
+pub async fn main() -> anyhow::Result<()> {
+    let client = Qdrant::from_url("<your-qdrant-url>").build().unwrap();
+
+    client
+        .query(
+            QueryPointsBuilder::new("{collection_name}")
+                .query(Query::new_nearest(Document {
+                    text: "How to bake cookies?".into(),
+                    model: "qdrant/bm25".into(),
+                    ..Default::default()
+                }))
+                .using("my-bm25-vector")
+                .build(),
+        )
+        .await?;
+
+    Ok(())
+}

qdrant-landing/content/documentation/headless/snippets/inference/query/typescript.ts

@@ -0,0 +1,11 @@
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+
+client.query("{collection_name}", {
+    query: {
+        text: 'How to bake cookies?',
+        model: 'qdrant/bm25',
+    },
+    using: 'my-bm25-vector',
+});