n8n/packages/@n8n/nodes-langchain/nodes/embeddings/EmbeddingsOllama/EmbeddingsOllama.node.ts
कारतोफ्फेलस्क्रिप्ट™ 15490ad1d4
feat: Add support for Ollama embeddings API (#8732)
Signed-off-by: Oleg Ivaniv <me@olegivaniv.com>
Co-authored-by: Oleg Ivaniv <me@olegivaniv.com>
2024-02-26 14:20:18 +01:00

62 lines
1.9 KiB
TypeScript

/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
import {
NodeConnectionType,
type IExecuteFunctions,
type INodeType,
type INodeTypeDescription,
type SupplyData,
} from 'n8n-workflow';
import { OllamaEmbeddings } from 'langchain/embeddings/ollama';
import { logWrapper } from '../../../utils/logWrapper';
import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
import { ollamaDescription, ollamaModel } from '../../llms/LMOllama/description';
export class EmbeddingsOllama implements INodeType {
description: INodeTypeDescription = {
displayName: 'Embeddings Ollama',
name: 'embeddingsOllama',
icon: 'file:ollama.svg',
group: ['transform'],
version: 1,
description: 'Use Ollama Embeddings',
defaults: {
name: 'Embeddings Ollama',
},
...ollamaDescription,
codex: {
categories: ['AI'],
subcategories: {
AI: ['Embeddings'],
},
resources: {
primaryDocumentation: [
{
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsollama/',
},
],
},
},
// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
inputs: [],
// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
outputs: [NodeConnectionType.AiEmbedding],
outputNames: ['Embeddings'],
properties: [getConnectionHintNoticeField([NodeConnectionType.AiVectorStore]), ollamaModel],
};
async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
this.logger.verbose('Supply data for embeddings Ollama');
const modelName = this.getNodeParameter('model', itemIndex) as string;
const credentials = await this.getCredentials('ollamaApi');
const embeddings = new OllamaEmbeddings({
baseUrl: credentials.baseUrl as string,
model: modelName,
});
return {
response: logWrapper(embeddings, this),
};
}
}