@n8n/n8n-nodes-langchain
Version:
60 lines • 2.3 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.EmbeddingsOllama = void 0;
const ollama_1 = require("@langchain/ollama");
const n8n_workflow_1 = require("n8n-workflow");
const ai_utilities_1 = require("@n8n/ai-utilities");
const description_1 = require("../../llms/LMOllama/description");
class EmbeddingsOllama {
constructor() {
this.description = {
displayName: 'Embeddings Ollama',
name: 'embeddingsOllama',
icon: 'file:ollama.svg',
group: ['transform'],
version: 1,
description: 'Use Ollama Embeddings',
defaults: {
name: 'Embeddings Ollama',
},
...description_1.ollamaDescription,
codex: {
categories: ['AI'],
subcategories: {
AI: ['Embeddings'],
},
resources: {
primaryDocumentation: [
{
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsollama/',
},
],
},
},
inputs: [],
outputs: [n8n_workflow_1.NodeConnectionTypes.AiEmbedding],
outputNames: ['Embeddings'],
properties: [(0, ai_utilities_1.getConnectionHintNoticeField)([n8n_workflow_1.NodeConnectionTypes.AiVectorStore]), description_1.ollamaModel],
};
}
async supplyData(itemIndex) {
this.logger.debug('Supply data for embeddings Ollama');
const modelName = this.getNodeParameter('model', itemIndex);
const credentials = await this.getCredentials('ollamaApi');
const headers = credentials.apiKey
? {
Authorization: `Bearer ${credentials.apiKey}`,
}
: undefined;
const embeddings = new ollama_1.OllamaEmbeddings({
baseUrl: credentials.baseUrl,
model: modelName,
headers,
});
return {
response: (0, ai_utilities_1.logWrapper)(embeddings, this),
};
}
}
exports.EmbeddingsOllama = EmbeddingsOllama;
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