import { INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { HuggingFaceInferenceEmbeddings, HuggingFaceInferenceEmbeddingsParams } from '@langchain/community/dist/embeddings/hf.cjs' class HuggingFaceInferenceEmbedding_Embeddings implements INode { label: string name: string type: string icon: string category: string description: string baseClasses: string[] inputs: INodeParams[] constructor() { this.label = 'HuggingFace Inference Embeddings' this.name = 'huggingFaceInferenceEmbeddings' this.type = 'HuggingFaceInferenceEmbeddings' this.icon = 'huggingface.png' this.category = 'Embeddings' this.description = 'HuggingFace Inference API to generate embeddings for a given text' this.baseClasses = [this.type, ...getBaseClasses(HuggingFaceInferenceEmbeddings)] this.inputs = [ { label: 'HuggingFace Api Key', name: 'apiKey', type: 'password' }, { label: 'Model', name: 'modelName', type: 'string', optional: true }, { label: 'Endpoint', name: 'endpoint', type: 'string', placeholder: 'https://xyz.eu-west-1.aws.endpoints.huggingface.cloud/sentence-transformers/all-MiniLM-L6-v2', description: 'Using your own inference endpoint', optional: true } ] } async init(nodeData: INodeData): Promise { const apiKey = nodeData.inputs?.apiKey as string const modelName = nodeData.inputs?.modelName as string const endpoint = nodeData.inputs?.endpoint as string const obj: Partial = { apiKey } if (modelName) obj.model = modelName if (endpoint) obj.endpointUrl = endpoint const model = new HuggingFaceInferenceEmbeddings(obj) return model } } module.exports = { nodeClass: HuggingFaceInferenceEmbedding_Embeddings }