mirror of
https://github.com/Abdulazizzn/n8n-enterprise-unlocked.git
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feat: Add AI tool building capabilities (#7336)
Github issue / Community forum post (link here to close automatically): https://community.n8n.io/t/langchain-memory-chat/23733 --------- Signed-off-by: Oleg Ivaniv <me@olegivaniv.com> Co-authored-by: Oleg Ivaniv <me@olegivaniv.com> Co-authored-by: Val <68596159+valya@users.noreply.github.com> Co-authored-by: Alex Grozav <alex@grozav.com> Co-authored-by: कारतोफ्फेलस्क्रिप्ट™ <aditya@netroy.in> Co-authored-by: Deborah <deborah@starfallprojects.co.uk> Co-authored-by: Jesper Bylund <mail@jesperbylund.com> Co-authored-by: Jon <jonathan.bennetts@gmail.com> Co-authored-by: Michael Kret <88898367+michael-radency@users.noreply.github.com> Co-authored-by: Giulio Andreini <andreini@netseven.it> Co-authored-by: Mason Geloso <Mason.geloso@gmail.com> Co-authored-by: Mason Geloso <hone@Masons-Mac-mini.local> Co-authored-by: Mutasem Aldmour <mutasem@n8n.io>
This commit is contained in:
Jan Oberhauser
@@ -0,0 +1,90 @@
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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 { ContextualCompressionRetriever } from 'langchain/retrievers/contextual_compression';
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import { LLMChainExtractor } from 'langchain/retrievers/document_compressors/chain_extract';
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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 RetrieverContextualCompression implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Contextual Compression Retriever',
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name: 'retrieverContextualCompression',
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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: 'Enhances document similarity search by contextual compression.',
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defaults: {
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name: 'Contextual Compression 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.retrievercontextualcompression/',
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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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async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
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this.logger.verbose('Supplying data for Contextual Compression Retriever');
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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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const baseCompressor = LLMChainExtractor.fromLLM(model);
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const retriever = new ContextualCompressionRetriever({
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baseCompressor,
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baseRetriever,
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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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@@ -0,0 +1,112 @@
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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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@@ -0,0 +1,74 @@
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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 type { VectorStore } from 'langchain/vectorstores/base';
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import { logWrapper } from '../../../utils/logWrapper';
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export class RetrieverVectorStore implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Vector Store Retriever',
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name: 'retrieverVectorStore',
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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: 'Use a Vector Store as Retriever',
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defaults: {
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name: 'Vector Store 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.retrievervectorstore/',
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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: 'Vector Store',
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maxConnections: 1,
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type: NodeConnectionType.AiVectorStore,
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required: true,
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},
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],
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// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
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outputs: [NodeConnectionType.AiRetriever],
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outputNames: ['Retriever'],
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properties: [
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{
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displayName: 'Limit',
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name: 'topK',
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type: 'number',
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default: 4,
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description: 'The maximum number of results to return',
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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 Vector Store Retriever');
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const topK = this.getNodeParameter('topK', itemIndex, 4) as number;
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const vectorStore = (await this.getInputConnectionData(
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NodeConnectionType.AiVectorStore,
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itemIndex,
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)) as VectorStore;
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const retriever = vectorStore.asRetriever(topK);
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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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@@ -0,0 +1,397 @@
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/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
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import { NodeConnectionType, NodeOperationError } from 'n8n-workflow';
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import type {
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IDataObject,
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IExecuteWorkflowInfo,
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INodeExecutionData,
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IWorkflowBase,
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IExecuteFunctions,
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INodeType,
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INodeTypeDescription,
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SupplyData,
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} from 'n8n-workflow';
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import { BaseRetriever, type BaseRetrieverInput } from 'langchain/schema/retriever';
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import { Document } from 'langchain/document';
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import type { SetField, SetNodeOptions } from 'n8n-nodes-base/dist/nodes/Set/v2/helpers/interfaces';
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import * as manual from 'n8n-nodes-base/dist/nodes/Set/v2/manual.mode';
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import { logWrapper } from '../../../utils/logWrapper';
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function objectToString(obj: Record<string, string> | IDataObject, level = 0) {
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let result = '';
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for (const key in obj) {
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const value = obj[key];
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if (typeof value === 'object' && value !== null) {
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result += `${' '.repeat(level)}- "${key}":\n${objectToString(
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value as IDataObject,
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level + 1,
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)}`;
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} else {
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result += `${' '.repeat(level)}- "${key}": "${value}"\n`;
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}
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}
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return result;
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}
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export class RetrieverWorkflow implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Workflow Retriever',
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name: 'retrieverWorkflow',
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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: 'Use an n8n Workflow as Retriever',
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defaults: {
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name: 'Workflow 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'],
|
||||
},
|
||||
resources: {
|
||||
primaryDocumentation: [
|
||||
{
|
||||
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.retrieverworkflow/',
|
||||
},
|
||||
],
|
||||
},
|
||||
},
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inputs: [],
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||||
outputs: [
|
||||
{
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||||
displayName: 'Retriever',
|
||||
maxConnections: 1,
|
||||
type: NodeConnectionType.AiRetriever,
|
||||
},
|
||||
],
|
||||
properties: [
|
||||
{
|
||||
displayName:
|
||||
'The workflow will receive "query" as input and the output of the last node will be returned and converted to Documents',
|
||||
name: 'executeNotice',
|
||||
type: 'notice',
|
||||
default: '',
|
||||
},
|
||||
{
|
||||
displayName: 'Source',
|
||||
name: 'source',
|
||||
type: 'options',
|
||||
options: [
|
||||
{
|
||||
name: 'Database',
|
||||
value: 'database',
|
||||
description: 'Load the workflow from the database by ID',
|
||||
},
|
||||
{
|
||||
name: 'Parameter',
|
||||
value: 'parameter',
|
||||
description: 'Load the workflow from a parameter',
|
||||
},
|
||||
],
|
||||
default: 'database',
|
||||
description: 'Where to get the workflow to execute from',
|
||||
},
|
||||
|
||||
// ----------------------------------
|
||||
// source:database
|
||||
// ----------------------------------
|
||||
{
|
||||
displayName: 'Workflow ID',
|
||||
name: 'workflowId',
|
||||
type: 'string',
|
||||
displayOptions: {
|
||||
show: {
|
||||
source: ['database'],
|
||||
},
|
||||
},
|
||||
default: '',
|
||||
required: true,
|
||||
description: 'The workflow to execute',
|
||||
},
|
||||
|
||||
// ----------------------------------
|
||||
// source:parameter
|
||||
// ----------------------------------
|
||||
{
|
||||
displayName: 'Workflow JSON',
|
||||
name: 'workflowJson',
|
||||
type: 'string',
|
||||
typeOptions: {
|
||||
editor: 'json',
|
||||
rows: 10,
|
||||
},
|
||||
displayOptions: {
|
||||
show: {
|
||||
source: ['parameter'],
|
||||
},
|
||||
},
|
||||
default: '\n\n\n',
|
||||
required: true,
|
||||
description: 'The workflow JSON code to execute',
|
||||
},
|
||||
|
||||
// ----------------------------------
|
||||
// For all
|
||||
// ----------------------------------
|
||||
{
|
||||
displayName: 'Workflow Values',
|
||||
name: 'fields',
|
||||
placeholder: 'Add Value',
|
||||
type: 'fixedCollection',
|
||||
description: 'Set the values which should be made available in the workflow',
|
||||
typeOptions: {
|
||||
multipleValues: true,
|
||||
sortable: true,
|
||||
},
|
||||
default: {},
|
||||
options: [
|
||||
{
|
||||
name: 'values',
|
||||
displayName: 'Values',
|
||||
values: [
|
||||
{
|
||||
displayName: 'Name',
|
||||
name: 'name',
|
||||
type: 'string',
|
||||
default: '',
|
||||
placeholder: 'e.g. fieldName',
|
||||
description:
|
||||
'Name of the field to set the value of. Supports dot-notation. Example: data.person[0].name.',
|
||||
requiresDataPath: 'single',
|
||||
},
|
||||
{
|
||||
displayName: 'Type',
|
||||
name: 'type',
|
||||
type: 'options',
|
||||
description: 'The field value type',
|
||||
// eslint-disable-next-line n8n-nodes-base/node-param-options-type-unsorted-items
|
||||
options: [
|
||||
{
|
||||
name: 'String',
|
||||
value: 'stringValue',
|
||||
},
|
||||
{
|
||||
name: 'Number',
|
||||
value: 'numberValue',
|
||||
},
|
||||
{
|
||||
name: 'Boolean',
|
||||
value: 'booleanValue',
|
||||
},
|
||||
{
|
||||
name: 'Array',
|
||||
value: 'arrayValue',
|
||||
},
|
||||
{
|
||||
name: 'Object',
|
||||
value: 'objectValue',
|
||||
},
|
||||
],
|
||||
default: 'stringValue',
|
||||
},
|
||||
{
|
||||
displayName: 'Value',
|
||||
name: 'stringValue',
|
||||
type: 'string',
|
||||
default: '',
|
||||
displayOptions: {
|
||||
show: {
|
||||
type: ['stringValue'],
|
||||
},
|
||||
},
|
||||
validateType: 'string',
|
||||
ignoreValidationDuringExecution: true,
|
||||
},
|
||||
{
|
||||
displayName: 'Value',
|
||||
name: 'numberValue',
|
||||
type: 'string',
|
||||
default: '',
|
||||
displayOptions: {
|
||||
show: {
|
||||
type: ['numberValue'],
|
||||
},
|
||||
},
|
||||
validateType: 'number',
|
||||
ignoreValidationDuringExecution: true,
|
||||
},
|
||||
{
|
||||
displayName: 'Value',
|
||||
name: 'booleanValue',
|
||||
type: 'options',
|
||||
default: 'true',
|
||||
options: [
|
||||
{
|
||||
name: 'True',
|
||||
value: 'true',
|
||||
},
|
||||
{
|
||||
name: 'False',
|
||||
value: 'false',
|
||||
},
|
||||
],
|
||||
displayOptions: {
|
||||
show: {
|
||||
type: ['booleanValue'],
|
||||
},
|
||||
},
|
||||
validateType: 'boolean',
|
||||
ignoreValidationDuringExecution: true,
|
||||
},
|
||||
{
|
||||
displayName: 'Value',
|
||||
name: 'arrayValue',
|
||||
type: 'string',
|
||||
default: '',
|
||||
placeholder: 'e.g. [ arrayItem1, arrayItem2, arrayItem3 ]',
|
||||
displayOptions: {
|
||||
show: {
|
||||
type: ['arrayValue'],
|
||||
},
|
||||
},
|
||||
validateType: 'array',
|
||||
ignoreValidationDuringExecution: true,
|
||||
},
|
||||
{
|
||||
displayName: 'Value',
|
||||
name: 'objectValue',
|
||||
type: 'string',
|
||||
default: '={}',
|
||||
typeOptions: {
|
||||
editor: 'json',
|
||||
editorLanguage: 'json',
|
||||
rows: 2,
|
||||
},
|
||||
displayOptions: {
|
||||
show: {
|
||||
type: ['objectValue'],
|
||||
},
|
||||
},
|
||||
validateType: 'object',
|
||||
ignoreValidationDuringExecution: true,
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
|
||||
class WorkflowRetriever extends BaseRetriever {
|
||||
lc_namespace = ['n8n-nodes-langchain', 'retrievers', 'workflow'];
|
||||
|
||||
executeFunctions: IExecuteFunctions;
|
||||
|
||||
constructor(executeFunctions: IExecuteFunctions, fields: BaseRetrieverInput) {
|
||||
super(fields);
|
||||
this.executeFunctions = executeFunctions;
|
||||
}
|
||||
|
||||
async getRelevantDocuments(query: string): Promise<Document[]> {
|
||||
const source = this.executeFunctions.getNodeParameter('source', itemIndex) as string;
|
||||
|
||||
const baseMetadata: IDataObject = {
|
||||
source: 'workflow',
|
||||
workflowSource: source,
|
||||
};
|
||||
|
||||
const workflowInfo: IExecuteWorkflowInfo = {};
|
||||
if (source === 'database') {
|
||||
// Read workflow from database
|
||||
workflowInfo.id = this.executeFunctions.getNodeParameter(
|
||||
'workflowId',
|
||||
itemIndex,
|
||||
) as string;
|
||||
baseMetadata.workflowId = workflowInfo.id;
|
||||
} else if (source === 'parameter') {
|
||||
// Read workflow from parameter
|
||||
const workflowJson = this.executeFunctions.getNodeParameter(
|
||||
'workflowJson',
|
||||
itemIndex,
|
||||
) as string;
|
||||
try {
|
||||
workflowInfo.code = JSON.parse(workflowJson) as IWorkflowBase;
|
||||
} catch (error) {
|
||||
throw new NodeOperationError(
|
||||
this.executeFunctions.getNode(),
|
||||
`The provided workflow is not valid JSON: "${(error as Error).message}"`,
|
||||
{
|
||||
itemIndex,
|
||||
},
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
const rawData: IDataObject = { query };
|
||||
|
||||
const workflowFieldsJson = this.executeFunctions.getNodeParameter(
|
||||
'fields.values',
|
||||
itemIndex,
|
||||
[],
|
||||
{
|
||||
rawExpressions: true,
|
||||
},
|
||||
) as SetField[];
|
||||
|
||||
// Copied from Set Node v2
|
||||
for (const entry of workflowFieldsJson) {
|
||||
if (entry.type === 'objectValue' && (entry.objectValue as string).startsWith('=')) {
|
||||
rawData[entry.name] = (entry.objectValue as string).replace(/^=+/, '');
|
||||
}
|
||||
}
|
||||
|
||||
const options: SetNodeOptions = {
|
||||
include: 'all',
|
||||
};
|
||||
|
||||
const newItem = await manual.execute.call(
|
||||
this.executeFunctions,
|
||||
{ json: { query } },
|
||||
itemIndex,
|
||||
options,
|
||||
rawData,
|
||||
this.executeFunctions.getNode(),
|
||||
);
|
||||
|
||||
const items = [newItem] as INodeExecutionData[];
|
||||
|
||||
let receivedItems: INodeExecutionData[][];
|
||||
try {
|
||||
receivedItems = (await this.executeFunctions.executeWorkflow(
|
||||
workflowInfo,
|
||||
items,
|
||||
)) as INodeExecutionData[][];
|
||||
} catch (error) {
|
||||
// Make sure a valid error gets returned that can by json-serialized else it will
|
||||
// not show up in the frontend
|
||||
throw new NodeOperationError(this.executeFunctions.getNode(), error as Error);
|
||||
}
|
||||
|
||||
const returnData: Document[] = [];
|
||||
for (const [index, itemData] of receivedItems[0].entries()) {
|
||||
const pageContent = objectToString(itemData.json);
|
||||
returnData.push(
|
||||
new Document({
|
||||
pageContent: `### ${index + 1}. Context data:\n${pageContent}`,
|
||||
metadata: {
|
||||
...baseMetadata,
|
||||
itemIndex: index,
|
||||
},
|
||||
}),
|
||||
);
|
||||
}
|
||||
|
||||
return returnData;
|
||||
}
|
||||
}
|
||||
|
||||
const retriever = new WorkflowRetriever(this, {});
|
||||
|
||||
return {
|
||||
response: logWrapper(retriever, this),
|
||||
};
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user