Files
elasticsearch-js/docs/doc_examples/ee05714a83d75fb6858e3b9fcbeb8f8b.asciidoc
2024-12-02 12:06:57 -06:00

95 lines
2.6 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",
mappings: {
properties: {
vector: {
type: "dense_vector",
dims: 3,
similarity: "l2_norm",
index: true,
},
text: {
type: "text",
},
year: {
type: "integer",
},
topic: {
type: "keyword",
},
},
},
});
console.log(response);
const response1 = await client.index({
index: "retrievers_example",
id: 1,
document: {
vector: [0.23, 0.67, 0.89],
text: "Large language models are revolutionizing information retrieval by boosting search precision, deepening contextual understanding, and reshaping user experiences in data-rich environments.",
year: 2024,
topic: ["llm", "ai", "information_retrieval"],
},
});
console.log(response1);
const response2 = await client.index({
index: "retrievers_example",
id: 2,
document: {
vector: [0.12, 0.56, 0.78],
text: "Artificial intelligence is transforming medicine, from advancing diagnostics and tailoring treatment plans to empowering predictive patient care for improved health outcomes.",
year: 2023,
topic: ["ai", "medicine"],
},
});
console.log(response2);
const response3 = await client.index({
index: "retrievers_example",
id: 3,
document: {
vector: [0.45, 0.32, 0.91],
text: "AI is redefining security by enabling advanced threat detection, proactive risk analysis, and dynamic defenses against increasingly sophisticated cyber threats.",
year: 2024,
topic: ["ai", "security"],
},
});
console.log(response3);
const response4 = await client.index({
index: "retrievers_example",
id: 4,
document: {
vector: [0.34, 0.21, 0.98],
text: "Elastic introduces Elastic AI Assistant, the open, generative AI sidekick powered by ESRE to democratize cybersecurity and enable users of every skill level.",
year: 2023,
topic: ["ai", "elastic", "assistant"],
},
});
console.log(response4);
const response5 = await client.index({
index: "retrievers_example",
id: 5,
document: {
vector: [0.11, 0.65, 0.47],
text: "Learn how to spin up a deployment of our hosted Elasticsearch Service and use Elastic Observability to gain deeper insight into the behavior of your applications and systems.",
year: 2024,
topic: ["documentation", "observability", "elastic"],
},
});
console.log(response5);
const response6 = await client.indices.refresh({
index: "retrievers_example",
});
console.log(response6);
----