dtamind-components
Version:
DTAmindai Components
85 lines • 3.55 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const cohere_1 = require("@langchain/cohere");
const utils_1 = require("../../../src/utils");
const modelLoader_1 = require("../../../src/modelLoader");
class CohereEmbedding_Embeddings {
constructor() {
//@ts-ignore
this.loadMethods = {
async listModels() {
return await (0, modelLoader_1.getModels)(modelLoader_1.MODEL_TYPE.EMBEDDING, 'cohereEmbeddings');
}
};
this.label = 'Cohere Embeddings';
this.name = 'cohereEmbeddings';
this.version = 3.0;
this.type = 'CohereEmbeddings';
this.icon = 'Cohere.svg';
this.category = 'Embeddings';
this.description = 'Cohere API to generate embeddings for a given text';
this.baseClasses = [this.type, ...(0, utils_1.getBaseClasses)(cohere_1.CohereEmbeddings)];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['cohereApi']
};
this.inputs = [
{
label: 'Model Name',
name: 'modelName',
type: 'asyncOptions',
loadMethod: 'listModels',
default: 'embed-english-v2.0'
},
{
label: 'Type',
name: 'inputType',
type: 'options',
description: 'Specifies the type of input passed to the model. Required for embedding models v3 and higher. <a target="_blank" href="https://docs.cohere.com/reference/embed">Official Docs</a>',
options: [
{
label: 'search_document',
name: 'search_document',
description: 'Use this to encode documents for embeddings that you store in a vector database for search use-cases'
},
{
label: 'search_query',
name: 'search_query',
description: 'Use this when you query your vector DB to find relevant documents.'
},
{
label: 'classification',
name: 'classification',
description: 'Use this when you use the embeddings as an input to a text classifier'
},
{
label: 'clustering',
name: 'clustering',
description: 'Use this when you want to cluster the embeddings.'
}
],
default: 'search_query',
optional: true
}
];
}
async init(nodeData, _, options) {
const modelName = nodeData.inputs?.modelName;
const inputType = nodeData.inputs?.inputType;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const cohereApiKey = (0, utils_1.getCredentialParam)('cohereApiKey', credentialData, nodeData);
const obj = {
apiKey: cohereApiKey
};
if (modelName)
obj.model = modelName;
if (inputType)
obj.inputType = inputType;
const model = new cohere_1.CohereEmbeddings(obj);
return model;
}
}
module.exports = { nodeClass: CohereEmbedding_Embeddings };
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