2023-11-29 03:13:55 -08:00
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import {
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NodeConnectionType,
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type IExecuteFunctions,
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type INodeExecutionData,
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type INodeType,
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type INodeTypeDescription,
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NodeOperationError,
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} from 'n8n-workflow';
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import { RetrievalQAChain } from 'langchain/chains';
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2024-03-07 02:36:36 -08:00
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import type { BaseLanguageModel } from '@langchain/core/language_models/base';
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import type { BaseRetriever } from '@langchain/core/retrievers';
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import { getTemplateNoticeField } from '../../../utils/sharedFields';
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2024-02-21 05:59:37 -08:00
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import { getPromptInputByType } from '../../../utils/helpers';
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2024-04-08 13:51:49 -07:00
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import { getTracingConfig } from '../../../utils/tracing';
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2023-11-29 03:13:55 -08:00
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export class ChainRetrievalQa implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Question and Answer Chain',
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name: 'chainRetrievalQa',
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icon: 'fa:link',
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group: ['transform'],
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version: [1, 1.1, 1.2, 1.3],
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description: 'Answer questions about retrieved documents',
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defaults: {
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name: 'Question and Answer Chain',
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color: '#909298',
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},
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codex: {
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alias: ['LangChain'],
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categories: ['AI'],
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subcategories: {
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2024-05-30 07:53:33 -07:00
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AI: ['Chains', 'Root Nodes'],
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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/root-nodes/n8n-nodes-langchain.chainretrievalqa/',
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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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NodeConnectionType.Main,
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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: [NodeConnectionType.Main],
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credentials: [],
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properties: [
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getTemplateNoticeField(1960),
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{
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displayName: 'Query',
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name: 'query',
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type: 'string',
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required: true,
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default: '={{ $json.input }}',
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displayOptions: {
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show: {
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'@version': [1],
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},
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},
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},
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{
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displayName: 'Query',
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name: 'query',
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type: 'string',
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required: true,
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default: '={{ $json.chat_input }}',
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displayOptions: {
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show: {
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'@version': [1.1],
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},
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},
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},
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{
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displayName: 'Query',
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name: 'query',
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type: 'string',
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required: true,
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default: '={{ $json.chatInput }}',
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displayOptions: {
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show: {
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'@version': [1.2],
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},
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},
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},
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2024-02-21 05:59:37 -08:00
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{
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displayName: 'Prompt',
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name: 'promptType',
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type: 'options',
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options: [
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{
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// eslint-disable-next-line n8n-nodes-base/node-param-display-name-miscased
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name: 'Take from previous node automatically',
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value: 'auto',
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description: 'Looks for an input field called chatInput',
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},
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{
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// eslint-disable-next-line n8n-nodes-base/node-param-display-name-miscased
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name: 'Define below',
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value: 'define',
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description:
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'Use an expression to reference data in previous nodes or enter static text',
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},
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],
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displayOptions: {
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hide: {
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'@version': [{ _cnd: { lte: 1.2 } }],
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},
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},
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default: 'auto',
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},
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{
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displayName: 'Text',
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name: 'text',
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type: 'string',
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required: true,
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default: '',
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typeOptions: {
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rows: 2,
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},
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displayOptions: {
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show: {
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promptType: ['define'],
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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 execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
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this.logger.verbose('Executing Retrieval QA Chain');
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const model = (await this.getInputConnectionData(
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NodeConnectionType.AiLanguageModel,
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0,
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)) as BaseLanguageModel;
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const retriever = (await this.getInputConnectionData(
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NodeConnectionType.AiRetriever,
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0,
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)) as BaseRetriever;
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const items = this.getInputData();
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const chain = RetrievalQAChain.fromLLM(model, retriever);
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const returnData: INodeExecutionData[] = [];
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// Run for each item
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for (let itemIndex = 0; itemIndex < items.length; itemIndex++) {
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try {
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let query;
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if (this.getNode().typeVersion <= 1.2) {
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query = this.getNodeParameter('query', itemIndex) as string;
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} else {
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query = getPromptInputByType({
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ctx: this,
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i: itemIndex,
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inputKey: 'text',
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promptTypeKey: 'promptType',
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});
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}
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if (query === undefined) {
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throw new NodeOperationError(this.getNode(), 'The ‘query‘ parameter is empty.');
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}
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const response = await chain.withConfig(getTracingConfig(this)).invoke({ query });
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returnData.push({ json: { response } });
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} catch (error) {
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if (this.continueOnFail(error)) {
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returnData.push({ json: { error: error.message }, pairedItem: { item: itemIndex } });
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continue;
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}
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throw error;
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}
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}
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return [returnData];
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}
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}
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