Files
elasticsearch-js/docs/doc_examples/948418e0ef1b7e7cfee2f11be715d7d2.asciidoc
2025-01-28 11:51:04 -06:00

90 lines
1.7 KiB
Plaintext

// 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);
----