mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-22 13:01:11 +03:00
update query engine tool
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@@ -28,12 +28,12 @@ class QueryEngine_LlamaIndex implements INode {
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constructor(fields?: { sessionId?: string }) {
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this.label = 'Query Engine'
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this.name = 'queryEngine'
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this.version = 1.0
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this.version = 2.0
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this.type = 'QueryEngine'
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this.icon = 'query-engine.png'
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this.category = 'Engine'
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this.description = 'Simple query engine built to answer question over your data, without memory'
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this.baseClasses = [this.type]
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this.baseClasses = [this.type, 'BaseQueryEngine']
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this.tags = ['LlamaIndex']
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this.inputs = [
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{
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@@ -59,52 +59,13 @@ class QueryEngine_LlamaIndex implements INode {
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this.sessionId = fields?.sessionId
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}
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async init(): Promise<any> {
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return null
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async init(nodeData: INodeData): Promise<any> {
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return prepareEngine(nodeData)
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}
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async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string | object> {
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const returnSourceDocuments = nodeData.inputs?.returnSourceDocuments as boolean
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const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever
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const responseSynthesizerObj = nodeData.inputs?.responseSynthesizer
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let queryEngine = new RetrieverQueryEngine(vectorStoreRetriever)
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if (responseSynthesizerObj) {
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if (responseSynthesizerObj.type === 'TreeSummarize') {
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const responseSynthesizer = new ResponseSynthesizer({
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responseBuilder: new TreeSummarize(vectorStoreRetriever.serviceContext, responseSynthesizerObj.textQAPromptTemplate),
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serviceContext: vectorStoreRetriever.serviceContext
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})
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queryEngine = new RetrieverQueryEngine(vectorStoreRetriever, responseSynthesizer)
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} else if (responseSynthesizerObj.type === 'CompactAndRefine') {
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const responseSynthesizer = new ResponseSynthesizer({
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responseBuilder: new CompactAndRefine(
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vectorStoreRetriever.serviceContext,
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responseSynthesizerObj.textQAPromptTemplate,
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responseSynthesizerObj.refinePromptTemplate
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),
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serviceContext: vectorStoreRetriever.serviceContext
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})
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queryEngine = new RetrieverQueryEngine(vectorStoreRetriever, responseSynthesizer)
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} else if (responseSynthesizerObj.type === 'Refine') {
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const responseSynthesizer = new ResponseSynthesizer({
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responseBuilder: new Refine(
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vectorStoreRetriever.serviceContext,
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responseSynthesizerObj.textQAPromptTemplate,
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responseSynthesizerObj.refinePromptTemplate
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),
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serviceContext: vectorStoreRetriever.serviceContext
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})
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queryEngine = new RetrieverQueryEngine(vectorStoreRetriever, responseSynthesizer)
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} else if (responseSynthesizerObj.type === 'SimpleResponseBuilder') {
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const responseSynthesizer = new ResponseSynthesizer({
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responseBuilder: new SimpleResponseBuilder(vectorStoreRetriever.serviceContext),
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serviceContext: vectorStoreRetriever.serviceContext
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})
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queryEngine = new RetrieverQueryEngine(vectorStoreRetriever, responseSynthesizer)
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}
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}
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const queryEngine = prepareEngine(nodeData)
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let text = ''
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let sourceDocuments: ICommonObject[] = []
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@@ -140,4 +101,49 @@ class QueryEngine_LlamaIndex implements INode {
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}
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}
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const prepareEngine = (nodeData: INodeData) => {
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const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever
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const responseSynthesizerObj = nodeData.inputs?.responseSynthesizer
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let queryEngine = new RetrieverQueryEngine(vectorStoreRetriever)
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if (responseSynthesizerObj) {
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if (responseSynthesizerObj.type === 'TreeSummarize') {
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const responseSynthesizer = new ResponseSynthesizer({
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responseBuilder: new TreeSummarize(vectorStoreRetriever.serviceContext, responseSynthesizerObj.textQAPromptTemplate),
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serviceContext: vectorStoreRetriever.serviceContext
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})
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queryEngine = new RetrieverQueryEngine(vectorStoreRetriever, responseSynthesizer)
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} else if (responseSynthesizerObj.type === 'CompactAndRefine') {
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const responseSynthesizer = new ResponseSynthesizer({
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responseBuilder: new CompactAndRefine(
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vectorStoreRetriever.serviceContext,
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responseSynthesizerObj.textQAPromptTemplate,
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responseSynthesizerObj.refinePromptTemplate
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),
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serviceContext: vectorStoreRetriever.serviceContext
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})
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queryEngine = new RetrieverQueryEngine(vectorStoreRetriever, responseSynthesizer)
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} else if (responseSynthesizerObj.type === 'Refine') {
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const responseSynthesizer = new ResponseSynthesizer({
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responseBuilder: new Refine(
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vectorStoreRetriever.serviceContext,
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responseSynthesizerObj.textQAPromptTemplate,
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responseSynthesizerObj.refinePromptTemplate
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),
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serviceContext: vectorStoreRetriever.serviceContext
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})
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queryEngine = new RetrieverQueryEngine(vectorStoreRetriever, responseSynthesizer)
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} else if (responseSynthesizerObj.type === 'SimpleResponseBuilder') {
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const responseSynthesizer = new ResponseSynthesizer({
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responseBuilder: new SimpleResponseBuilder(vectorStoreRetriever.serviceContext),
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serviceContext: vectorStoreRetriever.serviceContext
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})
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queryEngine = new RetrieverQueryEngine(vectorStoreRetriever, responseSynthesizer)
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}
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}
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return queryEngine
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}
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module.exports = { nodeClass: QueryEngine_LlamaIndex }
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