@n8n/n8n-nodes-langchain
Version:
142 lines • 6.01 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.EmbeddingsMistralCloud = void 0;
const mistralai_1 = require("@langchain/mistralai");
const n8n_workflow_1 = require("n8n-workflow");
const ai_utilities_1 = require("@n8n/ai-utilities");
class EmbeddingsMistralCloud {
constructor() {
this.description = {
displayName: 'Embeddings Mistral Cloud',
name: 'embeddingsMistralCloud',
icon: 'file:mistral.svg',
credentials: [
{
name: 'mistralCloudApi',
required: true,
},
],
group: ['transform'],
version: 1,
description: 'Use Embeddings Mistral Cloud',
defaults: {
name: 'Embeddings Mistral Cloud',
},
codex: {
categories: ['AI'],
subcategories: {
AI: ['Embeddings'],
},
resources: {
primaryDocumentation: [
{
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsmistralcloud/',
},
],
},
},
inputs: [],
outputs: [n8n_workflow_1.NodeConnectionTypes.AiEmbedding],
outputNames: ['Embeddings'],
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: 'https://api.mistral.ai/v1',
},
properties: [
(0, ai_utilities_1.getConnectionHintNoticeField)([n8n_workflow_1.NodeConnectionTypes.AiVectorStore]),
{
displayName: 'Model',
name: 'model',
type: 'options',
description: 'The model which will compute the embeddings. <a href="https://docs.mistral.ai/platform/endpoints/">Learn more</a>.',
typeOptions: {
loadOptions: {
routing: {
request: {
method: 'GET',
url: '/models',
},
output: {
postReceive: [
{
type: 'rootProperty',
properties: {
property: 'data',
},
},
{
type: 'filter',
properties: {
pass: "={{ $responseItem.id.includes('embed') }}",
},
},
{
type: 'setKeyValue',
properties: {
name: '={{ $responseItem.id }}',
value: '={{ $responseItem.id }}',
},
},
{
type: 'sort',
properties: {
key: 'name',
},
},
],
},
},
},
},
routing: {
send: {
type: 'body',
property: 'model',
},
},
default: 'mistral-embed',
},
{
displayName: 'Options',
name: 'options',
placeholder: 'Add Option',
description: 'Additional options to add',
type: 'collection',
default: {},
options: [
{
displayName: 'Batch Size',
name: 'batchSize',
default: 512,
typeOptions: { maxValue: 2048 },
description: 'Maximum number of documents to send in each request',
type: 'number',
},
{
displayName: 'Strip New Lines',
name: 'stripNewLines',
default: true,
description: 'Whether to strip new lines from the input text',
type: 'boolean',
},
],
},
],
};
}
async supplyData(itemIndex) {
const credentials = await this.getCredentials('mistralCloudApi');
const modelName = this.getNodeParameter('model', itemIndex);
const options = this.getNodeParameter('options', itemIndex, {});
const embeddings = new mistralai_1.MistralAIEmbeddings({
apiKey: credentials.apiKey,
model: modelName,
...options,
});
return {
response: (0, ai_utilities_1.logWrapper)(embeddings, this),
};
}
}
exports.EmbeddingsMistralCloud = EmbeddingsMistralCloud;
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