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add llamaindex
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@@ -0,0 +1,56 @@
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import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
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import { ResponseSynthesizerClass } from '../base'
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class TreeSummarize_LlamaIndex 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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baseClasses: string[]
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tags: string[]
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inputs: INodeParams[]
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outputs: INodeOutputsValue[]
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constructor() {
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this.label = 'TreeSummarize'
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this.name = 'treeSummarizeLlamaIndex'
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this.version = 1.0
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this.type = 'TreeSummarize'
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this.icon = 'treesummarize.svg'
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this.category = 'Response Synthesizer'
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this.description =
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'Given a set of text chunks and the query, recursively construct a tree and return the root node as the response. Good for summarization purposes.'
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this.baseClasses = [this.type, 'ResponseSynthesizer']
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this.tags = ['LlamaIndex']
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this.inputs = [
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{
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label: 'Prompt',
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name: 'prompt',
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type: 'string',
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rows: 4,
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default: `Context information from multiple sources is below.
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---------------------
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{context}
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---------------------
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Given the information from multiple sources and not prior knowledge, answer the query.
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Query: {query}
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Answer:`,
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warning: `Prompt can contains no variables, or up to 2 variables. Variables must be {context} and {query}`,
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optional: true
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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 prompt = nodeData.inputs?.prompt as string
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const textQAPromptTemplate = ({ context = '', query = '' }) => prompt.replace('{context}', context).replace('{query}', query)
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return new ResponseSynthesizerClass({ textQAPromptTemplate, type: 'TreeSummarize' })
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}
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}
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module.exports = { nodeClass: TreeSummarize_LlamaIndex }
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