Add example for multiple inference operations in a single request

qdrant-landing/content/documentation/concepts/inference.md

@@ -220,3 +220,9 @@ When you prepend a model name with `jinaai/`, the embedding request is automatic
 For example, to use Jina AI's multimodal `jina-clip-v2` model, when ingesting and querying data, prepend the model name with `jinaai/` and provide your Jina AI API key in the `options` object. This example uses the Jina AI-specific API `dimensions` parameter to reduce the dimensionality to 512:
 
 {{< code-snippet path="/documentation/headless/snippets/inference/jinaai/" >}}
+
+## Multiple Inference Operations
+
+You can run multiple inference operations within a single request, even when models are hosted in different locations. This example generates image embeddings using `jina-clip-v2` hosted by Jina AI, text embeddings using `all-minilm-l6-v2` hosted by Qdrant Cloud, and BM25 embeddings using the `bm25` model executed locally by the Qdrant cluster:
+
+{{< code-snippet path="/documentation/headless/snippets/inference/multiple/" >}}

qdrant-landing/content/documentation/headless/snippets/inference/multiple/http.md

@@ -0,0 +1,28 @@
+```http
+PUT /collections/<your-collection_name>/points?wait=true
+{
+  "points": [
+    {
+      "id": 1,
+      "vector": {
+        "image": {
+          "image": "https://qdrant.tech/example.png",
+          "model": "jinaai/jina-clip-v2",
+          "options": {
+            "jina-api-key": "<YOUR_JINAAI_API_KEY>",
+            "dimensions": 512
+          }
+        },
+        "text": {
+          "text": "Mars, the red planet",
+          "model": "sentence-transformers/all-minilm-l6-v2"
+        },
+        "bm25": {
+          "text": "Mars, the red planet",
+          "model": "qdrant/bm25"
+        }
+      }
+    }
+  ]
+}
+```