mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-28 19:00:59 +03:00
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import { get } from 'lodash'
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import { Document } from '@langchain/core/documents'
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import { VectorStore, VectorStoreRetriever, VectorStoreRetrieverInput } from '@langchain/core/vectorstores'
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import { INode, INodeData, INodeParams, INodeOutputsValue } from '../../../src/Interface'
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import { handleEscapeCharacters } from '../../../src'
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const defaultReturnFormat = '{{context}}\nSource: {{metadata.source}}'
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class CustomRetriever_Retrievers implements INode {
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label: string
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name: string
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version: number
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description: string
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type: string
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icon: string
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category: string
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baseClasses: string[]
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inputs: INodeParams[]
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outputs: INodeOutputsValue[]
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constructor() {
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this.label = 'Custom Retriever'
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this.name = 'customRetriever'
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this.version = 1.0
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this.type = 'CustomRetriever'
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this.icon = 'customRetriever.svg'
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this.category = 'Retrievers'
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this.description = 'Return results based on predefined format'
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this.baseClasses = [this.type, 'BaseRetriever']
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this.inputs = [
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{
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label: 'Vector Store',
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name: 'vectorStore',
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type: 'VectorStore'
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},
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{
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label: 'Query',
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name: 'query',
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type: 'string',
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description: 'Query to retrieve documents from retriever. If not specified, user question will be used',
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optional: true,
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acceptVariable: true
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},
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{
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label: 'Result Format',
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name: 'resultFormat',
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type: 'string',
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rows: 4,
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description:
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'Format to return the results in. Use {{context}} to insert the pageContent of the document and {{metadata.key}} to insert metadata values.',
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default: defaultReturnFormat
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},
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{
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label: 'Top K',
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name: 'topK',
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description: 'Number of top results to fetch. Default to vector store topK',
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placeholder: '4',
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type: 'number',
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additionalParams: true,
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optional: true
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}
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]
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this.outputs = [
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{
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label: 'Custom Retriever',
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name: 'retriever',
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baseClasses: this.baseClasses
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},
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{
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label: 'Document',
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name: 'document',
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description: 'Array of document objects containing metadata and pageContent',
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baseClasses: ['Document', 'json']
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},
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{
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label: 'Text',
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name: 'text',
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description: 'Concatenated string from pageContent of documents',
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baseClasses: ['string', 'json']
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}
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]
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}
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async init(nodeData: INodeData, input: string): Promise<any> {
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const vectorStore = nodeData.inputs?.vectorStore as VectorStore
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const query = nodeData.inputs?.query as string
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const topK = nodeData.inputs?.topK as string
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const resultFormat = nodeData.inputs?.resultFormat as string
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const output = nodeData.outputs?.output as string
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const retriever = CustomRetriever.fromVectorStore(vectorStore, {
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resultFormat,
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topK: topK ? parseInt(topK, 10) : (vectorStore as any)?.k ?? 4
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})
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if (output === 'retriever') return retriever
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else if (output === 'document') return await retriever.getRelevantDocuments(query ? query : input)
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else if (output === 'text') {
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let finaltext = ''
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const docs = await retriever.getRelevantDocuments(query ? query : input)
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for (const doc of docs) finaltext += `${doc.pageContent}\n`
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return handleEscapeCharacters(finaltext, false)
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}
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return retriever
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}
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}
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type RetrieverInput<V extends VectorStore> = Omit<VectorStoreRetrieverInput<V>, 'k'> & {
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topK?: number
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resultFormat?: string
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}
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class CustomRetriever<V extends VectorStore> extends VectorStoreRetriever<V> {
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resultFormat: string
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topK = 4
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constructor(input: RetrieverInput<V>) {
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super(input)
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this.topK = input.topK ?? this.topK
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this.resultFormat = input.resultFormat ?? this.resultFormat
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}
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async getRelevantDocuments(query: string): Promise<Document[]> {
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const results = await this.vectorStore.similaritySearchWithScore(query, this.topK, this.filter)
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const finalDocs: Document[] = []
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for (const result of results) {
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let res = this.resultFormat.replace(/{{context}}/g, result[0].pageContent)
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res = replaceMetadata(res, result[0].metadata)
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finalDocs.push(
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new Document({
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pageContent: res,
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metadata: result[0].metadata
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})
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)
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}
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return finalDocs
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}
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static fromVectorStore<V extends VectorStore>(vectorStore: V, options: Omit<RetrieverInput<V>, 'vectorStore'>) {
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return new this<V>({ ...options, vectorStore })
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}
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}
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function replaceMetadata(template: string, metadata: Record<string, any>): string {
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const metadataRegex = /{{metadata\.([\w.]+)}}/g
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return template.replace(metadataRegex, (match, path) => {
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const value = get(metadata, path)
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return value !== undefined ? String(value) : match
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})
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}
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module.exports = { nodeClass: CustomRetriever_Retrievers }
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@@ -0,0 +1 @@
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<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="icon icon-tabler icons-tabler-outline icon-tabler-file-search"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M14 3v4a1 1 0 0 0 1 1h4" /><path d="M12 21h-5a2 2 0 0 1 -2 -2v-14a2 2 0 0 1 2 -2h7l5 5v4.5" /><path d="M16.5 17.5m-2.5 0a2.5 2.5 0 1 0 5 0a2.5 2.5 0 1 0 -5 0" /><path d="M18.5 19.5l2.5 2.5" /></svg>
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