@n8n/n8n-nodes-langchain
Version:
107 lines • 4.5 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.EmbeddingsCohere = void 0;
const cohere_1 = require("@langchain/cohere");
const n8n_workflow_1 = require("n8n-workflow");
const ai_utilities_1 = require("@n8n/ai-utilities");
class EmbeddingsCohere {
constructor() {
this.description = {
displayName: 'Embeddings Cohere',
name: 'embeddingsCohere',
icon: { light: 'file:cohere.svg', dark: 'file:cohere.dark.svg' },
group: ['transform'],
version: 1,
description: 'Use Cohere Embeddings',
defaults: {
name: 'Embeddings Cohere',
},
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: '={{ $credentials.host }}',
},
credentials: [
{
name: 'cohereApi',
required: true,
},
],
codex: {
categories: ['AI'],
subcategories: {
AI: ['Embeddings'],
},
resources: {
primaryDocumentation: [
{
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingscohere/',
},
],
},
},
inputs: [],
outputs: [n8n_workflow_1.NodeConnectionTypes.AiEmbedding],
outputNames: ['Embeddings'],
properties: [
(0, ai_utilities_1.getConnectionHintNoticeField)([n8n_workflow_1.NodeConnectionTypes.AiVectorStore]),
{
displayName: 'Each model is using different dimensional density for embeddings. Please make sure to use the same dimensionality for your vector store. The default model is using 768-dimensional embeddings.',
name: 'notice',
type: 'notice',
default: '',
},
{
displayName: 'Model',
name: 'modelName',
type: 'options',
description: 'The model which will generate the embeddings. <a href="https://docs.cohere.com/docs/models">Learn more</a>.',
default: 'embed-english-v2.0',
options: [
{
name: 'Embed-English-Light-v2.0 (1024 Dimensions)',
value: 'embed-english-light-v2.0',
},
{
name: 'Embed-English-Light-v3.0 (384 Dimensions)',
value: 'embed-english-light-v3.0',
},
{
name: 'Embed-English-v2.0 (4096 Dimensions)',
value: 'embed-english-v2.0',
},
{
name: 'Embed-English-v3.0 (1024 Dimensions)',
value: 'embed-english-v3.0',
},
{
name: 'Embed-Multilingual-Light-v3.0 (384 Dimensions)',
value: 'embed-multilingual-light-v3.0',
},
{
name: 'Embed-Multilingual-v2.0 (768 Dimensions)',
value: 'embed-multilingual-v2.0',
},
{
name: 'Embed-Multilingual-v3.0 (1024 Dimensions)',
value: 'embed-multilingual-v3.0',
},
],
},
],
};
}
async supplyData(itemIndex) {
this.logger.debug('Supply data for embeddings Cohere');
const modelName = this.getNodeParameter('modelName', itemIndex, 'embed-english-v2.0');
const credentials = await this.getCredentials('cohereApi');
const embeddings = new cohere_1.CohereEmbeddings({
apiKey: credentials.apiKey,
model: modelName,
});
return {
response: (0, ai_utilities_1.logWrapper)(embeddings, this),
};
}
}
exports.EmbeddingsCohere = EmbeddingsCohere;
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