33 lines
1.1 KiB
Plaintext
33 lines
1.1 KiB
Plaintext
// 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.ingest.putPipeline({
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id: "query_helper_pipeline",
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processors: [
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{
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script: {
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source:
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"ctx.prompt = 'Please generate an elasticsearch search query on index `articles_index` for the following natural language query. Dates are in the field `@timestamp`, document types are in the field `type` (options are `news`, `publication`), categories in the field `category` and can be multiple (options are `medicine`, `pharmaceuticals`, `technology`), and document names are in the field `title` which should use a fuzzy match. Ignore fields which cannot be determined from the natural language query context: ' + ctx.content",
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},
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},
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{
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inference: {
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model_id: "openai_chat_completions",
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input_output: {
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input_field: "prompt",
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output_field: "query",
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},
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},
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},
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{
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remove: {
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field: "prompt",
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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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----
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