Auto-generated API code (#2587)

docs/doc_examples/948418e0ef1b7e7cfee2f11be715d7d2.asciidoc

@@ -0,0 +1,89 @@
+// This file is autogenerated, DO NOT EDIT
+// Use `node scripts/generate-docs-examples.js` to generate the docs examples
+
+[source, js]
+----
+const response = await client.indices.create({
+  index: "retrievers_example_nested",
+  settings: {
+    number_of_shards: 1,
+  },
+  mappings: {
+    properties: {
+      nested_field: {
+        type: "nested",
+        properties: {
+          paragraph_id: {
+            type: "keyword",
+          },
+          nested_vector: {
+            type: "dense_vector",
+            dims: 3,
+            similarity: "l2_norm",
+            index: true,
+            index_options: {
+              type: "flat",
+            },
+          },
+        },
+      },
+      topic: {
+        type: "keyword",
+      },
+    },
+  },
+});
+console.log(response);
+
+const response1 = await client.index({
+  index: "retrievers_example_nested",
+  id: 1,
+  document: {
+    nested_field: [
+      {
+        paragraph_id: "1a",
+        nested_vector: [-1.12, -0.59, 0.78],
+      },
+      {
+        paragraph_id: "1b",
+        nested_vector: [-0.12, 1.56, 0.42],
+      },
+      {
+        paragraph_id: "1c",
+        nested_vector: [1, -1, 0],
+      },
+    ],
+    topic: ["ai"],
+  },
+});
+console.log(response1);
+
+const response2 = await client.index({
+  index: "retrievers_example_nested",
+  id: 2,
+  document: {
+    nested_field: [
+      {
+        paragraph_id: "2a",
+        nested_vector: [0.23, 1.24, 0.65],
+      },
+    ],
+    topic: ["information_retrieval"],
+  },
+});
+console.log(response2);
+
+const response3 = await client.index({
+  index: "retrievers_example_nested",
+  id: 3,
+  document: {
+    topic: ["ai"],
+  },
+});
+console.log(response3);
+
+const response4 = await client.indices.refresh({
+  index: "retrievers_example_nested",
+});
+console.log(response4);
+----