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https://github.com/farcasclaudiu/Flowise.git
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add subquery engine
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@@ -0,0 +1,68 @@
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { VectorStoreIndex } from 'llamaindex'
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class QueryEngine_Tools 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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tags: string[]
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baseClasses: string[]
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inputs?: INodeParams[]
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constructor() {
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this.label = 'QueryEngine Tool'
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this.name = 'queryEngineToolLlamaIndex'
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this.version = 1.0
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this.type = 'QueryEngineTool'
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this.icon = 'queryEngineTool.svg'
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this.category = 'Tools'
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this.tags = ['LlamaIndex']
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this.description = 'Tool used to invoke query engine'
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this.baseClasses = [this.type]
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this.inputs = [
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{
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label: 'Vector Store Index',
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name: 'vectorStoreIndex',
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type: 'VectorStoreIndex'
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},
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{
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label: 'Tool Name',
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name: 'toolName',
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type: 'string',
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description: 'Tool name must be small capital letter with underscore. Ex: my_tool'
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},
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{
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label: 'Tool Description',
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name: 'toolDesc',
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type: 'string',
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rows: 4
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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 vectorStoreIndex = nodeData.inputs?.vectorStoreIndex as VectorStoreIndex
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const toolName = nodeData.inputs?.toolName as string
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const toolDesc = nodeData.inputs?.toolDesc as string
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const queryEngineTool = {
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queryEngine: vectorStoreIndex.asQueryEngine({
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preFilters: {
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...(vectorStoreIndex as any).metadatafilter
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}
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}),
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metadata: {
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name: toolName,
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description: toolDesc
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},
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vectorStoreIndex
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}
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return queryEngineTool
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}
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}
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module.exports = { nodeClass: QueryEngine_Tools }
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