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add llamaindex
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@@ -0,0 +1,75 @@
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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 CompactRefine_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 = 'Compact and Refine'
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this.name = 'compactrefineLlamaIndex'
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this.version = 1.0
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this.type = 'CompactRefine'
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this.icon = 'compactrefine.svg'
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this.category = 'Response Synthesizer'
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this.description =
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'CompactRefine is a slight variation of Refine that first compacts the text chunks into the smallest possible number of chunks.'
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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: 'Refine Prompt',
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name: 'refinePrompt',
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type: 'string',
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rows: 4,
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default: `The original query is as follows: {query}
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We have provided an existing answer: {existingAnswer}
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We have the opportunity to refine the existing answer (only if needed) with some more context below.
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------------
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{context}
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------------
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Given the new context, refine the original answer to better answer the query. If the context isn't useful, return the original answer.
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Refined Answer:`,
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warning: `Prompt can contains no variables, or up to 3 variables. Variables must be {existingAnswer}, {context} and {query}`,
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optional: true
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},
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{
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label: 'Text QA Prompt',
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name: 'textQAPrompt',
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type: 'string',
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rows: 4,
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default: `Context information is below.
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---------------------
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{context}
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---------------------
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Given the context information 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 refinePrompt = nodeData.inputs?.refinePrompt as string
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const textQAPrompt = nodeData.inputs?.textQAPrompt as string
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const refinePromptTemplate = ({ context = '', existingAnswer = '', query = '' }) =>
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refinePrompt.replace('{existingAnswer}', existingAnswer).replace('{context}', context).replace('{query}', query)
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const textQAPromptTemplate = ({ context = '', query = '' }) => textQAPrompt.replace('{context}', context).replace('{query}', query)
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return new ResponseSynthesizerClass({ textQAPromptTemplate, refinePromptTemplate, type: 'CompactAndRefine' })
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}
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}
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module.exports = { nodeClass: CompactRefine_LlamaIndex }
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