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/cohere-upsert/csharp.cs

@@ -0,0 +1,33 @@
+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.UpsertAsync(
+		    collectionName: "{collection_name}",
+		    points: new List<PointStruct>
+		    {
+		        new()
+		        {
+		            Id = 1,
+		            Vectors = new Image()
+		            {
+		                Model = "cohere/embed-v4.0",
+		                Image_ =
+		                    "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC",
+		                Options =
+		                {
+		                    ["cohere-api-key"] = "<YOUR_COHERE_API_KEY>",
+		                    ["output_dimension"] = 512,
+		                },
+		            },
+		        },
+		    }
+		);
+	}
+}

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

@@ -29,4 +29,4 @@ client.Upsert(ctx, &qdrant.UpsertPoints{
 		},
 	},
 })
-```
+```

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

@@ -38,4 +38,4 @@ client
                             .build()))
                 .build()))
     .get();
-```
+```

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

@@ -23,4 +23,4 @@ client.upsert(
         )
     ]
 )
-```
+```

qdrant-landing/content/documentation/headless/snippets/inference/cohere-upsert/go.go

@@ -0,0 +1,34 @@
+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.Upsert(ctx, &qdrant.UpsertPoints{
+		CollectionName: "{collection_name}",
+		Points: []*qdrant.PointStruct{
+			{
+				Id: qdrant.NewIDNum(uint64(1)),
+				Vectors: qdrant.NewVectorsImage(&qdrant.Image{
+					Model: "cohere/embed-v4.0",
+					Image: qdrant.NewValueString("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC"),
+					Options: qdrant.NewValueMap(map[string]any{
+						"cohere-api-key":   "<YOUR_COHERE_API_KEY>",
+						"output_dimension": 512,
+					}),
+				}),
+			},
+		},
+	})
+}

qdrant-landing/content/documentation/headless/snippets/inference/cohere-upsert/java.java

@@ -0,0 +1,45 @@
+package com.example.snippets_amalgamation;
+
+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.Image;
+import io.qdrant.client.grpc.Points.PointStruct;
+import java.util.List;
+import java.util.Map;
+
+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
+                    .upsertAsync(
+                        "{collection_name}",
+                        List.of(
+                            PointStruct.newBuilder()
+                                .setId(id(1))
+                                .setVectors(
+                                    vectors(
+                                        Image.newBuilder()
+                                            .setModel("cohere/embed-v4.0")
+                                            .setImage(
+                                                value(
+                                                    "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC"))
+                                            .putAllOptions(
+                                                Map.of(
+                                                    "cohere-api-key",
+                                                    value("<YOUR_COHERE_API_KEY>"),
+                                                    "output_dimension",
+                                                    value(512)))
+                                            .build()))
+                                .build()))
+                    .get();
+        }
+}

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

@@ -0,0 +1,24 @@
+from qdrant_client import QdrantClient, models
+
+client = QdrantClient(
+    url="https://xyz-example.qdrant.io:6333", 
+    api_key="<your-api-key>", 
+    cloud_inference=True
+)
+
+client.upsert(
+    collection_name="{collection_name}",
+    points=[
+        models.PointStruct(
+            id=1,
+            vector=models.Document(
+                text="a green square",
+                model="cohere/embed-v4.0",
+                options={
+                    "cohere-api-key": "<your_cohere_api_key>",
+                    "output_dimension": 512
+                }
+            )
+        )
+    ]
+)

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

@@ -0,0 +1,27 @@
+use qdrant_client::{
+    Payload, Qdrant, QdrantError,
+    qdrant::{Document, PointStruct, UpsertPointsBuilder},
+};
+use std::collections::HashMap;
+
+pub async fn main() -> anyhow::Result<()> {
+    let client = Qdrant::from_url("<your-qdrant-url>").build()?;
+    let mut options = HashMap::new();
+    options.insert("cohere-api-key".to_string(), "<YOUR_COHERE_API_KEY>".into());
+    options.insert("output_dimension".to_string(), 512.into());
+
+    client
+        .upsert_points(UpsertPointsBuilder::new("{collection_name}",
+            vec![
+                PointStruct::new(1,
+                    Document {
+                      text: "Recipe for baking chocolate chip cookies requires flour, sugar, eggs, and chocolate chips.".into(),
+                      model: "openai/text-embedding-3-small".into(),
+                      options,
+                      },
+                    Payload::default())
+                ]).wait(true))
+            .await?;
+
+    Ok(())
+}

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

@@ -0,0 +1,19 @@
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+
+client.upsert("{collection_name}", {
+    points: [
+        {
+            id: 1,
+            vector: {
+                text: 'a green square',
+                model: 'cohere/embed-v4.0',
+                options: {
+                    'cohere-api-key': '<your_cohere_api_key>',
+                    output_dimension: 512,
+                },
+            },
+        },
+    ],
+});