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113 lines
2.8 KiB
TypeScript
113 lines
2.8 KiB
TypeScript
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/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
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import {
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NodeConnectionType,
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type IExecuteFunctions,
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type INodeType,
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type INodeTypeDescription,
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type SupplyData,
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} from 'n8n-workflow';
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import { MultiQueryRetriever } from 'langchain/retrievers/multi_query';
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import type { BaseLanguageModel } from 'langchain/base_language';
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import type { BaseRetriever } from 'langchain/schema/retriever';
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import { logWrapper } from '../../../utils/logWrapper';
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export class RetrieverMultiQuery implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'MultiQuery Retriever',
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name: 'retrieverMultiQuery',
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icon: 'fa:box-open',
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group: ['transform'],
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version: 1,
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description:
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'Automates prompt tuning, generates diverse queries and expands document pool for enhanced retrieval.',
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defaults: {
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name: 'MultiQuery Retriever',
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},
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codex: {
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categories: ['AI'],
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subcategories: {
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AI: ['Retrievers'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.retrievermultiquery/',
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},
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],
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},
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},
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// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
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inputs: [
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{
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displayName: 'Model',
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maxConnections: 1,
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type: NodeConnectionType.AiLanguageModel,
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required: true,
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},
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{
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displayName: 'Retriever',
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maxConnections: 1,
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type: NodeConnectionType.AiRetriever,
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required: true,
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},
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],
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outputs: [
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{
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displayName: 'Retriever',
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maxConnections: 1,
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type: NodeConnectionType.AiRetriever,
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},
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],
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properties: [
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{
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displayName: 'Options',
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name: 'options',
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placeholder: 'Add Option',
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description: 'Additional options to add',
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type: 'collection',
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default: {},
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options: [
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{
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displayName: 'Query Count',
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name: 'queryCount',
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default: 3,
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typeOptions: { minValue: 1 },
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description: 'Number of different versions of the given question to generate',
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type: 'number',
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},
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],
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},
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],
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};
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async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
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this.logger.verbose('Supplying data for MultiQuery Retriever');
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const options = this.getNodeParameter('options', itemIndex, {}) as { queryCount?: number };
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const model = (await this.getInputConnectionData(
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NodeConnectionType.AiLanguageModel,
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itemIndex,
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)) as BaseLanguageModel;
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const baseRetriever = (await this.getInputConnectionData(
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NodeConnectionType.AiRetriever,
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itemIndex,
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)) as BaseRetriever;
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// TODO: Add support for parserKey
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const retriever = MultiQueryRetriever.fromLLM({
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llm: model,
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retriever: baseRetriever,
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...options,
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});
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return {
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response: logWrapper(retriever, this),
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};
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}
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}
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