// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.mjs` 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);
----
