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n8n-nodes-base

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Base nodes of n8n

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.description = void 0; const n8n_workflow_1 = require("n8n-workflow"); const properties = [ { displayName: 'Model', name: 'model', type: 'options', required: true, options: [ { name: 'PPLX Embed V1 0.6B', value: 'pplx-embed-v1-0.6b' }, { name: 'PPLX Embed V1 4B', value: 'pplx-embed-v1-4b' }, ], default: 'pplx-embed-v1-4b', description: 'The embedding model to use', routing: { send: { type: 'body', property: 'model', }, }, }, { displayName: 'Input Texts', name: 'input', type: 'string', required: true, default: '', typeOptions: { rows: 4 }, placeholder: 'One text per line', description: 'Text(s) to embed. Put each text on a separate line.', routing: { send: { type: 'body', property: 'input', value: '={{ $value.split("\\n").map(s => s.trim()).filter(s => s) }}', }, }, }, { displayName: 'Options', name: 'options', type: 'collection', placeholder: 'Add Option', default: {}, options: [ { displayName: 'Dimensions', name: 'dimensions', type: 'number', default: 0, typeOptions: { minValue: 0, numberPrecision: 0, }, description: 'Number of dimensions for the output embedding. If 0 or unset, the full model dimensions are used.', routing: { send: { type: 'body', property: 'dimensions', value: '={{ $value || undefined }}', }, }, }, { displayName: 'Encoding Format', name: 'encoding_format', type: 'options', default: 'base64_int8', options: [ { name: 'Base64 Int8', value: 'base64_int8' }, { name: 'Base64 Binary', value: 'base64_binary' }, ], description: 'The format of the returned embeddings', routing: { send: { type: 'body', property: 'encoding_format', }, }, }, ], }, ]; const displayOptions = { show: { resource: ['embedding'], operation: ['createEmbedding'], }, }; exports.description = (0, n8n_workflow_1.updateDisplayOptions)(displayOptions, properties); //# sourceMappingURL=createEmbedding.operation.js.map