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https://github.com/farcasclaudiu/Flowise.git
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Merge pull request #409 from govind-kumarr/feature/Qdrant-VectorStore-Integration
Feature/Qdrant vector store integration
This commit is contained in:
Henry Heng
@@ -0,0 +1,120 @@
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import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
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import { QdrantClient } from '@qdrant/js-client-rest'
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import { QdrantVectorStore, QdrantLibArgs } from 'langchain/vectorstores/qdrant'
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import { Embeddings } from 'langchain/embeddings/base'
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import { getBaseClasses } from '../../../src/utils'
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class Qdrant_Existing_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 = 'Qdrant Load Existing Index'
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this.name = 'qdrantExistingIndex'
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this.type = 'Qdrant'
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this.icon = 'qdrant_logo.svg'
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this.category = 'Vector Stores'
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this.description = 'Load existing index from Qdrant (i.e., documents have been upserted)'
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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: '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: 'Qdrant Server URL',
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name: 'qdrantServerUrl',
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type: 'string',
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placeholder: 'http://localhost:6333'
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},
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{
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label: 'Qdrant Collection Name',
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name: 'qdrantCollection',
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type: 'string'
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},
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{
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label: 'Qdrant API Key',
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name: 'qdrantApiKey',
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type: 'password',
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optional: true
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},
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{
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label: 'Qdrant Collection Cofiguration',
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name: 'qdrantCollectionCofiguration',
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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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this.outputs = [
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{
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label: 'Qdrant 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: 'Qdrant Vector Store',
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name: 'vectorStore',
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baseClasses: [this.type, ...getBaseClasses(QdrantVectorStore)]
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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 qdrantServerUrl = nodeData.inputs?.qdrantServerUrl as string
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const collectionName = nodeData.inputs?.qdrantCollection as string
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const qdrantApiKey = nodeData.inputs?.qdrantApiKey as string
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let qdrantCollectionCofiguration = nodeData.inputs?.qdrantCollectionCofiguration
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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 ? parseInt(topK, 10) : 4
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// connect to Qdrant Cloud
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const client = new QdrantClient({
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url: qdrantServerUrl,
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apiKey: qdrantApiKey
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})
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const dbConfig: QdrantLibArgs = {
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client,
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collectionName
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}
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if (qdrantCollectionCofiguration) {
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qdrantCollectionCofiguration =
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typeof qdrantCollectionCofiguration === 'object' ? qdrantCollectionCofiguration : JSON.parse(qdrantCollectionCofiguration)
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dbConfig.collectionConfig = qdrantCollectionCofiguration
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}
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const vectorStore = await QdrantVectorStore.fromExistingCollection(embeddings, dbConfig)
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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: Qdrant_Existing_VectorStores }
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@@ -0,0 +1,27 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<svg width="451.84" height="152.4" fill="none" version="1.1" viewBox="0 0 451.84 152.4" xmlns="http://www.w3.org/2000/svg">
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<g fill="#dc244c">
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<g clip-rule="evenodd" fill-rule="evenodd">
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</g>
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<path d="m66 126.5v-25.914l-21-12.086v25.871z" fill="url(#paint0_linear_425_56)"/>
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<defs>
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<linearGradient id="paint0_linear_425_56" x1="62.128" x2="41.202" y1="105.54" y2="105.54" gradientUnits="userSpaceOnUse">
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<stop stop-color="#FF3364" offset="0"/>
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<stop stop-color="#C91540" stop-opacity="0" offset="1"/>
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</linearGradient>
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</defs>
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</svg>
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|
After Width: | Height: | Size: 5.4 KiB |
@@ -0,0 +1,121 @@
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import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
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import { QdrantClient } from '@qdrant/js-client-rest'
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import { QdrantVectorStore, QdrantLibArgs } from 'langchain/vectorstores/qdrant'
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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 { flatten } from 'lodash'
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class QdrantUpsert_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 = 'Qdrant Upsert Document'
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this.name = 'qdrantUpsert'
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this.type = 'Qdrant'
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this.icon = 'qdrant_logo.svg'
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this.category = 'Vector Stores'
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this.description = 'Upsert documents to Qdrant'
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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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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: 'Qdrant Server URL',
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name: 'qdrantServerUrl',
|
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type: 'string',
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placeholder: 'http://localhost:6333'
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||||
},
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{
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||||
label: 'Qdrant Collection Name',
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name: 'qdrantCollection',
|
||||
type: 'string'
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},
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||||
{
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||||
label: 'Qdrant API Key',
|
||||
name: 'qdrantApiKey',
|
||||
type: 'password',
|
||||
optional: true
|
||||
},
|
||||
{
|
||||
label: 'Top K',
|
||||
name: 'topK',
|
||||
description: 'Number of top results to fetch. Default to 4',
|
||||
placeholder: '4',
|
||||
type: 'number',
|
||||
additionalParams: true,
|
||||
optional: true
|
||||
}
|
||||
]
|
||||
this.outputs = [
|
||||
{
|
||||
label: 'Qdrant Retriever',
|
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name: 'retriever',
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baseClasses: this.baseClasses
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||||
},
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||||
{
|
||||
label: 'Qdrant Vector Store',
|
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name: 'vectorStore',
|
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baseClasses: [this.type, ...getBaseClasses(QdrantVectorStore)]
|
||||
}
|
||||
]
|
||||
}
|
||||
|
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async init(nodeData: INodeData): Promise<any> {
|
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const qdrantServerUrl = nodeData.inputs?.qdrantServerUrl as string
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||||
const collectionName = nodeData.inputs?.qdrantCollection as string
|
||||
const qdrantApiKey = nodeData.inputs?.qdrantApiKey as string
|
||||
const docs = nodeData.inputs?.document as Document[]
|
||||
const embeddings = nodeData.inputs?.embeddings as Embeddings
|
||||
const output = nodeData.outputs?.output as string
|
||||
const topK = nodeData.inputs?.topK as string
|
||||
const k = topK ? parseInt(topK, 10) : 4
|
||||
|
||||
// connect to Qdrant Cloud
|
||||
const client = new QdrantClient({
|
||||
url: qdrantServerUrl,
|
||||
apiKey: qdrantApiKey
|
||||
})
|
||||
|
||||
const flattenDocs = docs && docs.length ? flatten(docs) : []
|
||||
const finalDocs = []
|
||||
for (let i = 0; i < flattenDocs.length; i += 1) {
|
||||
finalDocs.push(new Document(flattenDocs[i]))
|
||||
}
|
||||
|
||||
const dbConfig: QdrantLibArgs = {
|
||||
client,
|
||||
url: qdrantServerUrl,
|
||||
collectionName
|
||||
}
|
||||
const vectorStore = await QdrantVectorStore.fromDocuments(finalDocs, embeddings, dbConfig)
|
||||
|
||||
if (output === 'retriever') {
|
||||
const retriever = vectorStore.asRetriever(k)
|
||||
return retriever
|
||||
} else if (output === 'vectorStore') {
|
||||
;(vectorStore as any).k = k
|
||||
return vectorStore
|
||||
}
|
||||
return vectorStore
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = { nodeClass: QdrantUpsert_VectorStores }
|
||||
@@ -0,0 +1,27 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<svg width="451.84" height="152.4" fill="none" version="1.1" viewBox="0 0 451.84 152.4" xmlns="http://www.w3.org/2000/svg">
|
||||
<g fill="#dc244c">
|
||||
<path d="m212.69 116c0 5.523-4.477 10.001-10 10.001h-6.836v-7.808h-0.244c-0.732 1.057-1.708 2.155-2.928 3.293-1.139 1.058-2.521 2.034-4.148 2.929-1.545 0.894-3.294 1.626-5.246 2.196-1.871 0.569-3.823 0.853-5.856 0.853-4.392 0-8.377-0.732-11.956-2.196-3.579-1.545-6.669-3.66-9.272-6.344-2.521-2.765-4.473-6.018-5.856-9.759-1.383-3.742-2.074-7.849-2.074-12.322 0-4.148 0.61-8.093 1.83-11.835 1.301-3.822 3.091-7.198 5.368-10.126 2.359-2.9275 5.205-5.2455 8.54-6.9535 3.335-1.7893 7.117-2.684 11.346-2.684 3.823 0 7.361 0.61 10.614 1.83 3.335 1.1387 6.059 3.1313 8.174 5.9785h0.244v-29.284c0-5.5229 4.477-10 10-10h8.3zm-16.836-19.646c0-4.473-1.301-8.092-3.904-10.858-2.521-2.765-6.1-4.148-10.736-4.148s-8.255 1.383-10.858 4.148c-2.521 2.766-3.782 6.385-3.782 10.858 0 4.474 1.261 8.093 3.782 10.858 2.603 2.766 6.222 4.149 10.858 4.149s8.215-1.383 10.736-4.149c2.603-2.765 3.904-6.384 3.904-10.858z"/>
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Reference in New Issue
Block a user