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+281
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import { OpenAIEmbeddings } from '@langchain/openai';
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import { AiConfig } from '@n8n/config';
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import { Container } from '@n8n/di';
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import {
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NodeConnectionTypes,
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type INodeProperties,
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type INodeType,
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type INodeTypeDescription,
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type ISupplyDataFunctions,
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type SupplyData,
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} from 'n8n-workflow';
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import type { ClientOptions } from 'openai';
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import { checkDomainRestrictions } from '@utils/checkDomainRestrictions';
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import { mergeCustomHeaders } from '@utils/helpers';
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import { getProxyAgent, logWrapper, getConnectionHintNoticeField } from '@n8n/ai-utilities';
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const modelParameter: INodeProperties = {
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displayName: 'Model',
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name: 'model',
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type: 'options',
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description:
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'The model which will generate the embeddings. <a href="https://platform.openai.com/docs/models/overview">Learn more</a>.',
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typeOptions: {
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loadOptions: {
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routing: {
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request: {
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method: 'GET',
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url: '={{ $parameter.options?.baseURL?.split("/").slice(-1).pop() || $credentials?.url?.split("/").slice(-1).pop() || "v1" }}/models',
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},
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output: {
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postReceive: [
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{
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type: 'rootProperty',
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properties: {
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property: 'data',
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},
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},
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{
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type: 'filter',
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properties: {
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// If the baseURL is not set or is set to api.openai.com, include only embedding models
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pass: `={{
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($parameter.options?.baseURL && !$parameter.options?.baseURL?.startsWith('https://api.openai.com/')) ||
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($credentials?.url && !$credentials.url.startsWith('https://api.openai.com/')) ||
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$responseItem.id.includes('embed')
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}}`,
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},
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},
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{
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type: 'setKeyValue',
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properties: {
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name: '={{$responseItem.id}}',
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value: '={{$responseItem.id}}',
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},
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},
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{
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type: 'sort',
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properties: {
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key: 'name',
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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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routing: {
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send: {
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type: 'body',
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property: 'model',
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},
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},
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default: 'text-embedding-3-small',
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};
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export class EmbeddingsOpenAi implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Embeddings OpenAI',
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name: 'embeddingsOpenAi',
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icon: { light: 'file:openAiLight.svg', dark: 'file:openAiLight.dark.svg' },
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credentials: [
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{
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name: 'openAiApi',
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required: true,
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},
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],
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group: ['transform'],
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version: [1, 1.1, 1.2],
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description: 'Use Embeddings OpenAI',
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defaults: {
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name: 'Embeddings OpenAI',
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},
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codex: {
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categories: ['AI'],
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subcategories: {
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AI: ['Embeddings'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsopenai/',
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},
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],
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},
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},
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inputs: [],
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outputs: [NodeConnectionTypes.AiEmbedding],
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outputNames: ['Embeddings'],
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requestDefaults: {
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ignoreHttpStatusErrors: true,
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baseURL:
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'={{ $parameter.options?.baseURL?.split("/").slice(0,-1).join("/") || $credentials.url?.split("/").slice(0,-1).join("/") || "https://api.openai.com" }}',
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},
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properties: [
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getConnectionHintNoticeField([NodeConnectionTypes.AiVectorStore]),
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{
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...modelParameter,
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default: 'text-embedding-ada-002',
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displayOptions: {
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show: {
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'@version': [1],
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},
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},
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},
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{
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...modelParameter,
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displayOptions: {
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hide: {
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'@version': [1],
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},
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},
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},
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{
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displayName: 'Options',
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name: 'options',
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placeholder: 'Add Option',
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description: 'Additional options to add',
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type: 'collection',
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default: {},
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options: [
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{
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displayName: 'Dimensions',
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name: 'dimensions',
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default: 1536,
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description:
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'The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.',
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type: 'options',
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options: [
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{
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name: '256',
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value: 256,
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},
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{
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name: '512',
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value: 512,
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},
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{
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name: '1024',
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value: 1024,
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},
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{
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name: '1536',
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value: 1536,
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},
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{
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name: '3072',
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value: 3072,
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},
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],
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},
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{
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displayName: 'Base URL',
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name: 'baseURL',
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default: 'https://api.openai.com/v1',
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description: 'Override the default base URL for the API',
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type: 'string',
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displayOptions: {
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hide: {
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'@version': [{ _cnd: { gte: 1.2 } }],
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},
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},
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},
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{
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displayName: 'Batch Size',
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name: 'batchSize',
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default: 512,
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typeOptions: { maxValue: 2048 },
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description: 'Maximum number of documents to send in each request',
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type: 'number',
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},
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{
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displayName: 'Strip New Lines',
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name: 'stripNewLines',
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default: true,
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description: 'Whether to strip new lines from the input text',
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type: 'boolean',
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},
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{
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displayName: 'Timeout',
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name: 'timeout',
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default: -1,
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description:
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'Maximum amount of time a request is allowed to take in seconds. Set to -1 for no timeout.',
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type: 'number',
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},
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{
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displayName: 'Encoding Format',
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name: 'encodingFormat',
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type: 'options',
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description: 'The format to return the embeddings in',
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default: 'float',
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options: [
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{
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name: 'Float',
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value: 'float',
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},
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{
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name: 'Base64',
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value: 'base64',
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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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async supplyData(this: ISupplyDataFunctions, itemIndex: number): Promise<SupplyData> {
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this.logger.debug('Supply data for embeddings');
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const credentials = await this.getCredentials('openAiApi');
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const options = this.getNodeParameter('options', itemIndex, {}) as {
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baseURL?: string;
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batchSize?: number;
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stripNewLines?: boolean;
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timeout?: number;
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dimensions?: number | undefined;
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encodingFormat?: 'float' | 'base64' | undefined;
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};
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if (options.timeout === -1) {
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options.timeout = undefined;
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}
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const { openAiDefaultHeaders: defaultHeaders } = Container.get(AiConfig);
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const configuration: ClientOptions = {
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defaultHeaders,
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};
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if (options.baseURL) {
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checkDomainRestrictions(this, credentials, options.baseURL);
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configuration.baseURL = options.baseURL;
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} else if (credentials.url) {
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configuration.baseURL = credentials.url as string;
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}
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configuration.fetchOptions = {
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dispatcher: getProxyAgent(configuration.baseURL ?? 'https://api.openai.com/v1', {}),
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};
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configuration.defaultHeaders = mergeCustomHeaders(
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credentials,
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(configuration.defaultHeaders ?? {}) as Record<string, string>,
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);
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const embeddings = new OpenAIEmbeddings({
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model: this.getNodeParameter('model', itemIndex, 'text-embedding-3-small') as string,
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apiKey: credentials.apiKey as string,
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...options,
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configuration,
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});
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return {
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response: logWrapper(embeddings, this),
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};
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}
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}
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