// 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.ingest.putPipeline({
  id: "query_helper_pipeline",
  processors: [
    {
      script: {
        source:
          "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",
      },
    },
    {
      inference: {
        model_id: "openai_chat_completions",
        input_output: {
          input_field: "prompt",
          output_field: "query",
        },
      },
    },
    {
      remove: {
        field: "prompt",
      },
    },
  ],
});
console.log(response);
----
