add supabase upsert
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import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
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import { Embeddings } from 'langchain/embeddings/base'
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import { Document } from 'langchain/document'
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import { getBaseClasses } from '../../../src/utils'
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import { SupabaseVectorStore } from 'langchain/vectorstores/supabase'
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import { createClient } from '@supabase/supabase-js'
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class SupabaseUpsert_VectorStores implements INode {
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label: string
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name: string
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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 = 'Supabase Upsert Document'
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this.name = 'supabaseUpsert'
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this.type = 'supabase'
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this.icon = 'supabase.svg'
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this.category = 'Vector Stores'
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this.description = 'Upsert documents to Supabase'
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this.baseClasses = [this.type, 'VectorStoreRetriever', 'BaseRetriever']
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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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},
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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: 'Supabase API Key',
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name: 'supabaseApiKey',
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type: 'password'
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},
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{
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label: 'Supabase Project URL',
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name: 'supabaseProjUrl',
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type: 'string'
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},
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{
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label: 'Table Name',
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name: 'tableName',
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type: 'string'
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},
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{
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label: 'Query Name',
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name: 'queryName',
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type: 'string'
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}
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]
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this.outputs = [
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{
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label: 'Supabase 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: 'Supabase Vector Store',
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name: 'vectorStore',
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baseClasses: [this.type, ...getBaseClasses(SupabaseVectorStore)]
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}
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]
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}
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async init(nodeData: INodeData): Promise<any> {
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const supabaseApiKey = nodeData.inputs?.supabaseApiKey as string
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const supabaseProjUrl = nodeData.inputs?.supabaseProjUrl as string
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const tableName = nodeData.inputs?.tableName as string
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const queryName = nodeData.inputs?.queryName 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 client = createClient(supabaseProjUrl, supabaseApiKey)
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const finalDocs = []
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for (let i = 0; i < docs.length; i += 1) {
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finalDocs.push(new Document(docs[i]))
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}
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const vectorStore = await SupabaseVectorStore.fromDocuments(finalDocs, embeddings, {
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client,
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tableName: tableName,
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queryName: queryName
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})
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if (output === 'retriever') {
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const retriever = vectorStore.asRetriever()
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return retriever
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} else if (output === 'vectorStore') {
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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: SupabaseUpsert_VectorStores }
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@ -0,0 +1,15 @@
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<svg width="109" height="113" viewBox="0 0 109 113" fill="none" xmlns="http://www.w3.org/2000/svg">
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<path d="M63.7076 110.284C60.8481 113.885 55.0502 111.912 54.9813 107.314L53.9738 40.0625L99.1935 40.0625C107.384 40.0625 111.952 49.5226 106.859 55.9372L63.7076 110.284Z" fill="url(#paint0_linear)"/>
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<path d="M63.7076 110.284C60.8481 113.885 55.0502 111.912 54.9813 107.314L53.9738 40.0625L99.1935 40.0625C107.384 40.0625 111.952 49.5226 106.859 55.9372L63.7076 110.284Z" fill="url(#paint1_linear)" fill-opacity="0.2"/>
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<path d="M45.317 2.07103C48.1765 -1.53037 53.9745 0.442937 54.0434 5.041L54.4849 72.2922H9.83113C1.64038 72.2922 -2.92775 62.8321 2.1655 56.4175L45.317 2.07103Z" fill="#3ECF8E"/>
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<defs>
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<linearGradient id="paint0_linear" x1="53.9738" y1="54.9738" x2="94.1635" y2="71.8293" gradientUnits="userSpaceOnUse">
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<stop stop-color="#249361"/>
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<stop offset="1" stop-color="#3ECF8E"/>
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</linearGradient>
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<linearGradient id="paint1_linear" x1="36.1558" y1="30.5779" x2="54.4844" y2="65.0804" gradientUnits="userSpaceOnUse">
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<stop/>
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<stop offset="1" stop-opacity="0"/>
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</linearGradient>
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</defs>
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</svg>
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After Width: | Height: | Size: 1.1 KiB |
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@ -19,6 +19,7 @@
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"@dqbd/tiktoken": "^1.0.4",
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"@huggingface/inference": "^1.6.3",
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"@pinecone-database/pinecone": "^0.0.12",
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"@supabase/supabase-js": "^2.21.0",
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"axios": "^0.27.2",
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"cheerio": "^1.0.0-rc.12",
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"chromadb": "^1.3.1",
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