mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-22 09:01:09 +03:00
Update langchainjs
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@@ -92,7 +92,7 @@ class VectaraExisting_VectorStores implements INode {
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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 customerId = getCredentialParam('customerID', credentialData, nodeData)
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const corpusId = getCredentialParam('corpusID', credentialData, nodeData)
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const corpusId = getCredentialParam('corpusID', credentialData, nodeData).split(',')
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const vectaraMetadataFilter = nodeData.inputs?.filter as string
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const sentencesBefore = nodeData.inputs?.sentencesBefore as number
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@@ -1,6 +1,6 @@
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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 { VectaraStore, VectaraLibArgs, VectaraFilter, VectaraContextConfig } from 'langchain/vectorstores/vectara'
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import { VectaraStore, VectaraLibArgs, VectaraFilter, VectaraContextConfig, VectaraFile } from 'langchain/vectorstores/vectara'
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class VectaraUpload_VectorStores implements INode {
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label: string
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@@ -99,7 +99,7 @@ class VectaraUpload_VectorStores implements INode {
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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 customerId = getCredentialParam('customerID', credentialData, nodeData)
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const corpusId = getCredentialParam('corpusID', credentialData, nodeData)
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const corpusId = getCredentialParam('corpusID', credentialData, nodeData).split(',')
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const fileBase64 = nodeData.inputs?.file
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const vectaraMetadataFilter = nodeData.inputs?.filter as string
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@@ -133,17 +133,17 @@ class VectaraUpload_VectorStores implements INode {
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files = [fileBase64]
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}
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const blobs: Blob[] = []
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const vectaraFiles: VectaraFile[] = []
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for (const file of files) {
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const splitDataURI = file.split(',')
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splitDataURI.pop()
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const bf = Buffer.from(splitDataURI.pop() || '', 'base64')
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const blob = new Blob([bf])
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blobs.push(blob)
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vectaraFiles.push({ blob: blob, fileName: getFileName(file) })
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}
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const vectorStore = new VectaraStore(vectaraArgs)
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const res = await vectorStore.addFiles(blobs)
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await vectorStore.addFiles(vectaraFiles)
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files = []
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if (output === 'retriever') {
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@@ -157,4 +157,21 @@ class VectaraUpload_VectorStores implements INode {
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}
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}
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const getFileName = (fileBase64: string) => {
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let fileNames = []
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if (fileBase64.startsWith('[') && fileBase64.endsWith(']')) {
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const files = JSON.parse(fileBase64)
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for (const file of files) {
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const splitDataURI = file.split(',')
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const filename = splitDataURI[splitDataURI.length - 1].split(':')[1]
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fileNames.push(filename)
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}
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return fileNames.join(', ')
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} else {
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const splitDataURI = fileBase64.split(',')
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const filename = splitDataURI[splitDataURI.length - 1].split(':')[1]
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return filename
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}
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}
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module.exports = { nodeClass: VectaraUpload_VectorStores }
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@@ -101,7 +101,7 @@ class VectaraUpsert_VectorStores implements INode {
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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 customerId = getCredentialParam('customerID', credentialData, nodeData)
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const corpusId = getCredentialParam('corpusID', credentialData, nodeData)
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const corpusId = getCredentialParam('corpusID', credentialData, nodeData).split(',')
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const docs = nodeData.inputs?.document as Document[]
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const embeddings = {} as Embeddings
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@@ -41,7 +41,7 @@
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"google-auth-library": "^9.0.0",
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"graphql": "^16.6.0",
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"html-to-text": "^9.0.5",
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"langchain": "^0.0.133",
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"langchain": "^0.0.147",
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"linkifyjs": "^4.1.1",
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"mammoth": "^1.5.1",
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"moment": "^2.29.3",
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