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/generated/csharp.md

@@ -0,0 +1,17 @@
+```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}",
+    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

@@ -0,0 +1,26 @@
+```go
+import (
+	"context"
+	"time"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+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/generated/java.md

@@ -0,0 +1,27 @@
+```java
+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;
+
+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/generated/python.md

@@ -0,0 +1,18 @@
+```python
+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/generated/rust.md

@@ -0,0 +1,21 @@
+```rust
+use qdrant_client::{
+    Qdrant, QdrantError,
+    qdrant::{Document, Query, QueryPointsBuilder},
+};
+
+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?;
+```

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

@@ -0,0 +1,13 @@
+```typescript
+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',
+});
+```