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https://github.com/farcasclaudiu/Flowise.git
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wip
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@@ -0,0 +1,234 @@
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import { flatten } from 'lodash'
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import { IDocument, ZepClient } from '@getzep/zep-cloud'
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import { IZepConfig, ZepVectorStore } from '@getzep/zep-cloud/langchain'
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import { Embeddings } from 'langchain/embeddings/base'
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import { Document } from 'langchain/document'
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import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { addMMRInputParams, resolveVectorStoreOrRetriever } from '../VectorStoreUtils'
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import { FakeEmbeddings } from 'langchain/embeddings/fake'
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class Zep_CloudVectorStores 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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badge: string
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baseClasses: string[]
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inputs: INodeParams[]
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credential: INodeParams
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outputs: INodeOutputsValue[]
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constructor() {
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this.label = 'Zep Collection - Cloud'
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this.name = 'zepCloud'
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this.version = 2.0
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this.type = 'Zep'
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this.icon = 'zep.svg'
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this.category = 'Vector Stores'
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this.description =
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'Upsert embedded data and perform similarity or mmr search upon query using Zep, a fast and scalable building block for LLM apps'
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this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
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this.badge = 'NEW'
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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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optional: false,
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description: 'Configure JWT authentication on your Zep instance (Optional)',
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credentialNames: ['zepMemoryApi']
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}
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this.inputs = [
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{
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label: 'Document',
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name: 'document',
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type: 'Document',
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list: true,
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optional: true
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},
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{
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label: 'Zep Collection',
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name: 'zepCollection',
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type: 'string',
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placeholder: 'my-first-collection'
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},
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{
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label: 'Zep Metadata Filter',
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name: 'zepMetadataFilter',
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type: 'json',
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optional: true,
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additionalParams: true
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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 4',
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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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addMMRInputParams(this.inputs)
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this.outputs = [
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{
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label: 'Zep 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: 'Zep Vector Store',
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name: 'vectorStore',
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baseClasses: [this.type, ...getBaseClasses(ZepVectorStore)]
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}
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]
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}
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//@ts-ignore
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vectorStoreMethods = {
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async upsert(nodeData: INodeData, options: ICommonObject): Promise<void> {
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const zepCollection = nodeData.inputs?.zepCollection as string
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const docs = nodeData.inputs?.document as Document[]
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const apiKey = getCredentialParam('apiKey', credentialData, nodeData)
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const flattenDocs = docs && docs.length ? flatten(docs) : []
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const finalDocs = []
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for (let i = 0; i < flattenDocs.length; i += 1) {
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if (flattenDocs[i] && flattenDocs[i].pageContent) {
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finalDocs.push(new Document(flattenDocs[i]))
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}
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}
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const client = await ZepClient.init(apiKey, 'https://api.development.getzep.com')
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const zepConfig = {
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apiKey: apiKey,
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collectionName: zepCollection,
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client
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}
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try {
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await ZepVectorStore.fromDocuments(finalDocs, new FakeEmbeddings(), zepConfig)
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} catch (e) {
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throw new Error(e)
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}
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}
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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const zepCollection = nodeData.inputs?.zepCollection as string
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const zepMetadataFilter = nodeData.inputs?.zepMetadataFilter
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const apiKey = getCredentialParam('apiKey', credentialData, nodeData)
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const zepConfig: IZepConfig & Partial<ZepFilter> = {
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apiUrl: 'https://api.development.getzep.com',
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apiKey,
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collectionName: zepCollection
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}
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if (zepMetadataFilter) {
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zepConfig.filter = typeof zepMetadataFilter === 'object' ? zepMetadataFilter : JSON.parse(zepMetadataFilter)
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}
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const client = await ZepClient.init(zepConfig.apiKey, zepConfig.apiUrl)
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zepConfig.client = client
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const vectorStore = await ZepExistingVS.init(zepConfig)
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return resolveVectorStoreOrRetriever(nodeData, vectorStore)
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}
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}
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interface ZepFilter {
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filter: Record<string, any>
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}
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function zepDocsToDocumentsAndScore(results: IDocument[]): [Document, number][] {
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return results.map((d) => [
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new Document({
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pageContent: d.content,
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metadata: d.metadata
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}),
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d.score ? d.score : 0
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])
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}
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function assignMetadata(value: string | Record<string, unknown> | object | undefined): Record<string, unknown> | undefined {
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if (typeof value === 'object' && value !== null) {
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return value as Record<string, unknown>
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}
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if (value !== undefined) {
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console.warn('Metadata filters must be an object, Record, or undefined.')
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}
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return undefined
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}
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class ZepExistingVS extends ZepVectorStore {
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filter?: Record<string, any>
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args?: IZepConfig & Partial<ZepFilter>
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constructor(embeddings: Embeddings, args: IZepConfig & Partial<ZepFilter>) {
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super(embeddings, args)
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this.filter = args.filter
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this.args = args
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}
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async initializeCollection(args: IZepConfig & Partial<ZepFilter>) {
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this.client = await ZepClient.init(args.apiKey, args.apiUrl)
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try {
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this.collection = await this.client.document.getCollection(args.collectionName)
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} catch (err) {
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if (err instanceof Error) {
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if (err.name === 'NotFoundError') {
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await this.createNewCollection(args)
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} else {
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throw err
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}
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}
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}
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}
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async createNewCollection(args: IZepConfig & Partial<ZepFilter>) {
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this.collection = await this.client.document.addCollection({
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name: args.collectionName,
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description: args.description,
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metadata: args.metadata
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})
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}
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async similaritySearchVectorWithScore(
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query: number[],
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k: number,
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filter?: Record<string, unknown> | undefined
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): Promise<[Document, number][]> {
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if (filter && this.filter) {
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throw new Error('cannot provide both `filter` and `this.filter`')
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}
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const _filters = filter ?? this.filter
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const ANDFilters = []
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for (const filterKey in _filters) {
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let filterVal = _filters[filterKey]
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if (typeof filterVal === 'string') filterVal = `"${filterVal}"`
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ANDFilters.push({ jsonpath: `$[*] ? (@.${filterKey} == ${filterVal})` })
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}
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const newfilter = {
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where: { and: ANDFilters }
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}
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await this.initializeCollection(this.args!).catch((err) => {
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console.error('Error initializing collection:', err)
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throw err
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})
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const results = await this.collection.search(
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{
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embedding: new Float32Array(query),
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metadata: assignMetadata(newfilter)
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},
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k
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)
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return zepDocsToDocumentsAndScore(results)
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}
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static async fromExistingIndex(embeddings: Embeddings, dbConfig: IZepConfig & Partial<ZepFilter>): Promise<ZepVectorStore> {
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console.log('fromExistingIndex')
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const instance = new this(embeddings, dbConfig)
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return instance
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}
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}
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module.exports = { nodeClass: Zep_CloudVectorStores }
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