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Feature: Add Jina AI Rerank Retriever (#3898)
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 94 40">
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<path fill="#EB6161" d="M6.12 39.92c3.38 0 6.12-2.74 6.12-6.12s-2.74-6.12-6.12-6.12S0 30.42 0 33.8s2.74 6.12 6.12 6.12z"/>
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<path fill="#FBCB67" d="M39.499 12.24c3.38 0 6.12-2.74 6.12-6.12S42.879 0 39.499 0s-6.12 2.74-6.12 6.12 2.74 6.12 6.12 6.12z"/>
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</svg>
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After Width: | Height: | Size: 913 B |
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import { Callbacks } from '@langchain/core/callbacks/manager'
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import { Document } from '@langchain/core/documents'
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import axios from 'axios'
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import { BaseDocumentCompressor } from 'langchain/retrievers/document_compressors'
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export class JinaRerank extends BaseDocumentCompressor {
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private jinaAPIKey: string
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private readonly JINA_RERANK_API_URL = 'https://api.jina.ai/v1/rerank'
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private model: string = 'jina-reranker-v2-base-multilingual'
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private readonly topN: number
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constructor(jinaAPIKey: string, model: string, topN: number) {
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super()
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this.jinaAPIKey = jinaAPIKey
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this.model = model
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this.topN = topN
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}
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async compressDocuments(
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documents: Document<Record<string, any>>[],
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query: string,
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_?: Callbacks | undefined
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): Promise<Document<Record<string, any>>[]> {
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if (documents.length === 0) {
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return []
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}
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const config = {
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headers: {
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Authorization: `Bearer ${this.jinaAPIKey}`,
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'Content-Type': 'application/json'
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}
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}
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const data = {
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model: this.model,
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query: query,
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documents: documents.map((doc) => doc.pageContent),
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top_n: this.topN
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}
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try {
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let returnedDocs = await axios.post(this.JINA_RERANK_API_URL, data, config)
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const finalResults: Document<Record<string, any>>[] = []
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returnedDocs.data.results.forEach((result: any) => {
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const doc = documents[result.index]
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doc.metadata.relevance_score = result.relevance_score
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finalResults.push(doc)
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})
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return finalResults
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} catch (error) {
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return documents
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}
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}
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}
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import { BaseRetriever } from '@langchain/core/retrievers'
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import { ContextualCompressionRetriever } from 'langchain/retrievers/contextual_compression'
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import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src'
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import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
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import { JinaRerank } from './JinaRerank'
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class JinaRerankRetriever_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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credential: INodeParams
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badge: string
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outputs: INodeOutputsValue[]
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constructor() {
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this.label = 'Jina AI Rerank Retriever'
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this.name = 'JinaRerankRetriever'
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this.version = 1.0
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this.type = 'JinaRerankRetriever'
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this.icon = 'JinaAI.svg'
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this.category = 'Retrievers'
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this.description = 'Jina AI Rerank indexes the documents from most to least semantically relevant to the query.'
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this.baseClasses = [this.type, 'BaseRetriever']
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this.credential = {
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label: 'Connect Credential',
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name: 'credential',
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type: 'credential',
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credentialNames: ['jinaAIApi']
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}
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this.inputs = [
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{
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label: 'Vector Store Retriever',
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name: 'baseRetriever',
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type: 'VectorStoreRetriever'
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},
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{
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label: 'Model Name',
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name: 'model',
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type: 'options',
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options: [
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{
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label: 'jina-reranker-v2-base-multilingual',
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name: 'jina-reranker-v2-base-multilingual'
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},
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{
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label: 'jina-colbert-v2',
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name: 'jina-colbert-v2'
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}
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],
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default: 'jina-reranker-v2-base-multilingual',
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optional: true
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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: 'Top N',
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name: 'topN',
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description: 'Number of top results to fetch. Default to 4',
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placeholder: '4',
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default: 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: 'Jina AI Rerank 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, options: ICommonObject): Promise<any> {
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const baseRetriever = nodeData.inputs?.baseRetriever as BaseRetriever
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const model = nodeData.inputs?.model as string
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const query = nodeData.inputs?.query as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const jinaApiKey = getCredentialParam('jinaAIAPIKey', credentialData, nodeData)
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const topN = nodeData.inputs?.topN ? parseFloat(nodeData.inputs?.topN as string) : 4
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const output = nodeData.outputs?.output as string
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const jinaCompressor = new JinaRerank(jinaApiKey, model, topN)
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const retriever = new ContextualCompressionRetriever({
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baseCompressor: jinaCompressor,
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baseRetriever: baseRetriever
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})
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if (output === 'retriever') return retriever
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else if (output === 'document') return await retriever.invoke(query ? query : input)
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else if (output === 'text') {
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const docs = await retriever.invoke(query ? query : input)
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let finaltext = ''
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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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module.exports = { nodeClass: JinaRerankRetriever_Retrievers }
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