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Chore/update deprecating nodes (#2540)
* update deprecating nodes * add filters use cases to marketplace * update log level
This commit is contained in:
Henry Heng
@@ -32,7 +32,6 @@ class Weaviate_VectorStores implements INode {
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this.description =
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'Upsert embedded data and perform similarity or mmr search using Weaviate, a scalable open-source vector database'
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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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@@ -1,157 +0,0 @@
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import { Embeddings } from '@langchain/core/embeddings'
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import weaviate, { WeaviateClient, ApiKey } from 'weaviate-ts-client'
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import { WeaviateLibArgs, WeaviateStore } from '@langchain/community/vectorstores/weaviate'
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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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class Weaviate_Existing_VectorStores 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 = 'Weaviate Load Existing Index'
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this.name = 'weaviateExistingIndex'
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this.version = 1.0
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this.type = 'Weaviate'
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this.icon = 'weaviate.png'
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this.category = 'Vector Stores'
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this.description = 'Load existing index from Weaviate (i.e: Document has been upserted)'
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this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
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this.badge = 'DEPRECATING'
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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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description: 'Only needed when using Weaviate cloud hosted',
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optional: true,
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credentialNames: ['weaviateApi']
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}
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this.inputs = [
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{
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label: 'Embeddings',
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name: 'embeddings',
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type: 'Embeddings'
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},
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{
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label: 'Weaviate Scheme',
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name: 'weaviateScheme',
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type: 'options',
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default: 'https',
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options: [
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{
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label: 'https',
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name: 'https'
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},
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{
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label: 'http',
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name: 'http'
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}
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]
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},
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{
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label: 'Weaviate Host',
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name: 'weaviateHost',
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type: 'string',
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placeholder: 'localhost:8080'
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},
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{
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label: 'Weaviate Index',
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name: 'weaviateIndex',
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type: 'string',
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placeholder: 'Test'
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},
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{
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label: 'Weaviate Text Key',
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name: 'weaviateTextKey',
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type: 'string',
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placeholder: 'text',
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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: 'Weaviate Metadata Keys',
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name: 'weaviateMetadataKeys',
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type: 'string',
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rows: 4,
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placeholder: `["foo"]`,
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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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this.outputs = [
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{
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label: 'Weaviate 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: 'Weaviate Vector Store',
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name: 'vectorStore',
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baseClasses: [this.type, ...getBaseClasses(WeaviateStore)]
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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 weaviateScheme = nodeData.inputs?.weaviateScheme as string
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const weaviateHost = nodeData.inputs?.weaviateHost as string
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const weaviateIndex = nodeData.inputs?.weaviateIndex as string
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const weaviateTextKey = nodeData.inputs?.weaviateTextKey as string
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const weaviateMetadataKeys = nodeData.inputs?.weaviateMetadataKeys as string
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const embeddings = nodeData.inputs?.embeddings as Embeddings
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const output = nodeData.outputs?.output as string
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const topK = nodeData.inputs?.topK as string
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const k = topK ? parseFloat(topK) : 4
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const weaviateApiKey = getCredentialParam('weaviateApiKey', credentialData, nodeData)
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const clientConfig: any = {
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scheme: weaviateScheme,
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host: weaviateHost
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}
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if (weaviateApiKey) clientConfig.apiKey = new ApiKey(weaviateApiKey)
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const client: WeaviateClient = weaviate.client(clientConfig)
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const obj: WeaviateLibArgs = {
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client,
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indexName: weaviateIndex
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}
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if (weaviateTextKey) obj.textKey = weaviateTextKey
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if (weaviateMetadataKeys) obj.metadataKeys = JSON.parse(weaviateMetadataKeys.replace(/\s/g, ''))
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const vectorStore = await WeaviateStore.fromExistingIndex(embeddings, obj)
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if (output === 'retriever') {
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const retriever = vectorStore.asRetriever(k)
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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return vectorStore
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}
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return vectorStore
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}
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}
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module.exports = { nodeClass: Weaviate_Existing_VectorStores }
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@@ -1,174 +0,0 @@
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import { Embeddings } from '@langchain/core/embeddings'
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import { Document } from '@langchain/core/documents'
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import { WeaviateLibArgs, WeaviateStore } from '@langchain/community/vectorstores/weaviate'
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import weaviate, { WeaviateClient, ApiKey } from 'weaviate-ts-client'
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import { flatten } from 'lodash'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
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class WeaviateUpsert_VectorStores 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 = 'Weaviate Upsert Document'
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this.name = 'weaviateUpsert'
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this.version = 1.0
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this.type = 'Weaviate'
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this.icon = 'weaviate.png'
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this.category = 'Vector Stores'
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this.description = 'Upsert documents to Weaviate'
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this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
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this.badge = 'DEPRECATING'
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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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description: 'Only needed when using Weaviate cloud hosted',
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optional: true,
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credentialNames: ['weaviateApi']
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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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},
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{
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label: 'Embeddings',
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name: 'embeddings',
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type: 'Embeddings'
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},
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{
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label: 'Weaviate Scheme',
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name: 'weaviateScheme',
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type: 'options',
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default: 'https',
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options: [
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{
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label: 'https',
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name: 'https'
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},
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{
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label: 'http',
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name: 'http'
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}
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]
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},
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{
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label: 'Weaviate Host',
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name: 'weaviateHost',
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type: 'string',
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placeholder: 'localhost:8080'
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},
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{
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label: 'Weaviate Index',
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name: 'weaviateIndex',
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type: 'string',
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placeholder: 'Test'
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},
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{
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label: 'Weaviate Text Key',
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name: 'weaviateTextKey',
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type: 'string',
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placeholder: 'text',
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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: 'Weaviate Metadata Keys',
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name: 'weaviateMetadataKeys',
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type: 'string',
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rows: 4,
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placeholder: `["foo"]`,
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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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this.outputs = [
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{
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label: 'Weaviate 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: 'Weaviate Vector Store',
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name: 'vectorStore',
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baseClasses: [this.type, ...getBaseClasses(WeaviateStore)]
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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 weaviateScheme = nodeData.inputs?.weaviateScheme as string
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const weaviateHost = nodeData.inputs?.weaviateHost as string
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const weaviateIndex = nodeData.inputs?.weaviateIndex as string
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const weaviateTextKey = nodeData.inputs?.weaviateTextKey as string
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const weaviateMetadataKeys = nodeData.inputs?.weaviateMetadataKeys as string
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const docs = nodeData.inputs?.document as Document[]
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const embeddings = nodeData.inputs?.embeddings as Embeddings
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const output = nodeData.outputs?.output as string
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const topK = nodeData.inputs?.topK as string
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const k = topK ? parseFloat(topK) : 4
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const weaviateApiKey = getCredentialParam('weaviateApiKey', credentialData, nodeData)
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const clientConfig: any = {
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scheme: weaviateScheme,
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host: weaviateHost
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}
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if (weaviateApiKey) clientConfig.apiKey = new ApiKey(weaviateApiKey)
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const client: WeaviateClient = weaviate.client(clientConfig)
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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 obj: WeaviateLibArgs = {
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client,
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indexName: weaviateIndex
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}
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if (weaviateTextKey) obj.textKey = weaviateTextKey
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if (weaviateMetadataKeys) obj.metadataKeys = JSON.parse(weaviateMetadataKeys.replace(/\s/g, ''))
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const vectorStore = await WeaviateStore.fromDocuments(finalDocs, embeddings, obj)
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if (output === 'retriever') {
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const retriever = vectorStore.asRetriever(k)
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return retriever
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} else if (output === 'vectorStore') {
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;(vectorStore as any).k = k
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return vectorStore
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}
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return vectorStore
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}
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}
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module.exports = { nodeClass: WeaviateUpsert_VectorStores }
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