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Auto-generated code for 8.16 (#2502)
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‎docs/doc_examples/015e6e6132b6d6d44bddb06bc3b316ed.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// Use `node scripts/generate-docs-examples.js` to generate the docs examples
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[source, js]
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----
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const response = await client.search({
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index: "retrievers_example",
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retriever: {
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rrf: {
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retrievers: [
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{
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standard: {
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query: {
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range: {
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year: {
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gt: 2023,
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},
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},
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},
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},
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},
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{
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standard: {
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query: {
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term: {
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topic: "elastic",
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},
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},
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},
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},
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],
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rank_window_size: 10,
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rank_constant: 1,
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},
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},
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_source: false,
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aggs: {
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topics: {
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terms: {
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field: "topic",
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},
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},
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},
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});
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console.log(response);
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----

‎docs/doc_examples/0165d22da5f2fc7678392b31d8eb5566.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// Use `node scripts/generate-docs-examples.js` to generate the docs examples
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[source, js]
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----
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const response = await client.inference.put({
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task_type: "rerank",
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inference_id: "my-rerank-model",
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inference_config: {
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service: "cohere",
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service_settings: {
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model_id: "rerank-english-v3.0",
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api_key: "{{COHERE_API_KEY}}",
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},
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},
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});
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console.log(response);
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----

‎docs/doc_examples/0bc6155e0c88062a4d8490da49db3aa8.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// Use `node scripts/generate-docs-examples.js` to generate the docs examples
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[source, js]
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----
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const response = await client.search({
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index: "retrievers_example_nested",
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retriever: {
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rrf: {
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retrievers: [
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{
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standard: {
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query: {
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nested: {
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path: "nested_field",
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inner_hits: {
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name: "nested_vector",
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_source: false,
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fields: ["nested_field.paragraph_id"],
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},
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query: {
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knn: {
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field: "nested_field.nested_vector",
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query_vector: [1, 0, 0.5],
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k: 10,
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},
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},
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},
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},
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},
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},
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{
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standard: {
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query: {
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term: {
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topic: "ai",
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},
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},
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},
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},
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],
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rank_window_size: 10,
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rank_constant: 1,
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},
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},
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_source: ["topic"],
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});
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console.log(response);
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----

‎docs/doc_examples/0bee07a581c5776e068f6f4efad5a399.asciidoc

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[source, js]
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----
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const response = await client.esql.asyncQuery({
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format: "json",
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const response = await client.transport.request({
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method: "POST",
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path: "/_query/async",
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querystring: {
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format: "json",
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},
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body: {
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query:
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"\n FROM my-index-000001,cluster_one:my-index-000001,cluster_two:my-index*\n | STATS COUNT(http.response.status_code) BY user.id\n | LIMIT 2\n ",

‎docs/doc_examples/0d689ac6e78be5d438f9b5d441be2b44.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// Use `node scripts/generate-docs-examples.js` to generate the docs examples
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[source, js]
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----
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const response = await client.search({
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index: "retrievers_example",
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retriever: {
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rrf: {
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retrievers: [
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{
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standard: {
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query: {
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term: {
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topic: "elastic",
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},
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},
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},
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},
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{
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rrf: {
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retrievers: [
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{
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standard: {
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query: {
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query_string: {
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query:
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"(information retrieval) OR (artificial intelligence)",
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default_field: "text",
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},
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},
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},
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},
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{
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knn: {
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field: "vector",
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query_vector: [0.23, 0.67, 0.89],
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k: 3,
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num_candidates: 5,
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},
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},
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],
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rank_window_size: 10,
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rank_constant: 1,
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},
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},
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],
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rank_window_size: 10,
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rank_constant: 1,
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},
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},
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_source: false,
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size: 1,
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explain: true,
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});
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console.log(response);
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----

‎docs/doc_examples/0dfde6a9d953822fd4b3aa0121ddd8fb.asciidoc

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[source, js]
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----
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const response = await client.searchApplication.renderQuery({
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name: "my-app",
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const response = await client.transport.request({
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method: "POST",
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path: "/_application/search_application/my-app/_render_query",
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body: {
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params: {
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query_string: "my first query",

‎docs/doc_examples/16634cfa7916cf4e8048a1d70e6240f2.asciidoc

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script: {
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lang: "mustache",
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source:
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'\n {\n "query": {\n "bool": {\n "must": [\n {{#query}}\n \n {{/query}}\n ],\n "filter": {{#toJson}}_es_filters{{/toJson}}\n }\n },\n "_source": {\n "includes": ["title", "plot"]\n },\n "highlight": {\n "fields": {\n "title": { "fragment_size": 0 },\n "plot": { "fragment_size": 200 }\n }\n },\n "aggs": {{#toJson}}_es_aggs{{/toJson}},\n "from": {{from}},\n "size": {{size}},\n "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n }\n ',
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'\n {\n "query": {\n "bool": {\n "must": [\n {{#query}}\n {{/query}}\n ],\n "filter": {{#toJson}}_es_filters{{/toJson}}\n }\n },\n "_source": {\n "includes": ["title", "plot"]\n },\n "highlight": {\n "fields": {\n "title": { "fragment_size": 0 },\n "plot": { "fragment_size": 200 }\n }\n },\n "aggs": {{#toJson}}_es_aggs{{/toJson}},\n "from": {{from}},\n "size": {{size}},\n "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n }\n ',
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params: {
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query: "",
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_es_filters: {},

‎docs/doc_examples/c02c2916b97b6fa7db82dbc7f0378310.asciidoc renamed to ‎docs/doc_examples/17b1647c8509543f2388c886f2584a20.asciidoc

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},
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},
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field: "text",
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inference_id: "my-cohere-rerank-model",
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inference_id: "elastic-rerank",
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inference_text: "How often does the moon hide the sun?",
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rank_window_size: 100,
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min_score: 0.5,

‎docs/doc_examples/19c00c6b29bc7dbc5e92b3668da2da93.asciidoc

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[source, js]
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----
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const response = await client.simulate.ingest({
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const response = await client.transport.request({
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method: "POST",
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path: "/_ingest/_simulate",
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body: {
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docs: [
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{

‎docs/doc_examples/4dab4c5168047ba596af1beb0e55b845.asciidoc renamed to ‎docs/doc_examples/22b176a184517cf1b5801f5eb4f17f97.asciidoc

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[source, js]
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----
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const response = await client.cluster.getSettings({
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flat_settings: "true",
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const response = await client.indices.rollover({
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alias: "datastream",
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});
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console.log(response);
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----

‎docs/doc_examples/2577acb462b95bd4394523cf2f8a661f.asciidoc

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‎docs/doc_examples/2a1eece9a59ac1773edcf0a932c26de0.asciidoc

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[source, js]
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----
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const response = await client.security.oidcLogout({
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const response = await client.transport.request({
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method: "POST",
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path: "/_security/oidc/logout",
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body: {
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token:
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"dGhpcyBpcyBub3QgYSByZWFsIHRva2VuIGJ1dCBpdCBpcyBvbmx5IHRlc3QgZGF0YS4gZG8gbm90IHRyeSB0byByZWFkIHRva2VuIQ==",

‎docs/doc_examples/2afdf0d83724953aa2875b5fb37d60cc.asciidoc

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[source, js]
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----
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const response = await client.esql.asyncQueryGet({
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id: "FmNJRUZ1YWZCU3dHY1BIOUhaenVSRkEaaXFlZ3h4c1RTWFNocDdnY2FSaERnUTozNDE=",
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wait_for_completion_timeout: "30s",
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body: null,
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const response = await client.transport.request({
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method: "GET",
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path: "/_query/async/FmNJRUZ1YWZCU3dHY1BIOUhaenVSRkEaaXFlZ3h4c1RTWFNocDdnY2FSaERnUTozNDE=",
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querystring: {
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wait_for_completion_timeout: "30s",
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},
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});
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console.log(response);
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----

‎docs/doc_examples/2bb41b0b4876ce98cd0cd8fb6d337f18.asciidoc

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‎docs/doc_examples/30d051f534aeb884176eedb2c11dac85.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// Use `node scripts/generate-docs-examples.js` to generate the docs examples
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[source, js]
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----
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const response = await client.inference.put({
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task_type: "rerank",
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inference_id: "my-elastic-rerank",
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inference_config: {
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service: "elasticsearch",
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service_settings: {
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model_id: ".rerank-v1",
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num_threads: 1,
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adaptive_allocations: {
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enabled: true,
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min_number_of_allocations: 1,
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max_number_of_allocations: 4,
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},
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},
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},
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});
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console.log(response);
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----

‎docs/doc_examples/3f1fe5f5f99b98d0891f38003e10b636.asciidoc

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[source, js]
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----
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const response = await client.esql.asyncQuery({
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const response = await client.transport.request({
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method: "POST",
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path: "/_query/async",
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body: {
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query:
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"\n FROM library\n | EVAL year = DATE_TRUNC(1 YEARS, release_date)\n | STATS MAX(page_count) BY year\n | SORT year\n | LIMIT 5\n ",

‎docs/doc_examples/405511f7c1f12cc0a227b4563fe7b2e2.asciidoc

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[source, js]
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----
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const response = await client.esql.asyncQueryGet({
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id: "FkpMRkJGS1gzVDRlM3g4ZzMyRGlLbkEaTXlJZHdNT09TU2VTZVBoNDM3cFZMUToxMDM=",
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body: null,
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const response = await client.transport.request({
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method: "GET",
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path: "/_query/async/FkpMRkJGS1gzVDRlM3g4ZzMyRGlLbkEaTXlJZHdNT09TU2VTZVBoNDM3cFZMUToxMDM=",
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});
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console.log(response);
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----

‎docs/doc_examples/4b91ad7c9b44e07db4a4e81390f19ad3.asciidoc

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[source, js]
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----
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const response = await client.inference.streamInference({
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task_type: "completion",
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inference_id: "openai-completion",
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const response = await client.transport.request({
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method: "POST",
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path: "/_inference/completion/openai-completion/_stream",
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body: {
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input: "What is Elastic?",
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},

‎docs/doc_examples/191074b2eebd5f74e628c2ada4b6d2e4.asciidoc renamed to ‎docs/doc_examples/4edfb5934d14ad7655bd7e19a112b5c0.asciidoc

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@@ -8,11 +8,6 @@ const response = await client.search({
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query: {
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bool: {
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must: [
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{
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term: {
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"category.keyword": "Main Course",
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},
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},
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{
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term: {
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tags: "vegetarian",
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},
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],
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should: [
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{
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term: {
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category: "Main Course",
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},
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},
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{
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multi_match: {
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query: "curry spicy",

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