add llamaindex

packages/components/nodes/responsesynthesizer/CompactRefine/CompactRefine.ts

@@ -0,0 +1,75 @@
+import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { ResponseSynthesizerClass } from '../base'
+
+class CompactRefine_LlamaIndex implements INode {
+    label: string
+    name: string
+    version: number
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    tags: string[]
+    inputs: INodeParams[]
+    outputs: INodeOutputsValue[]
+
+    constructor() {
+        this.label = 'Compact and Refine'
+        this.name = 'compactrefineLlamaIndex'
+        this.version = 1.0
+        this.type = 'CompactRefine'
+        this.icon = 'compactrefine.svg'
+        this.category = 'Response Synthesizer'
+        this.description =
+            'CompactRefine is a slight variation of Refine that first compacts the text chunks into the smallest possible number of chunks.'
+        this.baseClasses = [this.type, 'ResponseSynthesizer']
+        this.tags = ['LlamaIndex']
+        this.inputs = [
+            {
+                label: 'Refine Prompt',
+                name: 'refinePrompt',
+                type: 'string',
+                rows: 4,
+                default: `The original query is as follows: {query}
+We have provided an existing answer: {existingAnswer}
+We have the opportunity to refine the existing answer (only if needed) with some more context below.
+------------
+{context}
+------------
+Given the new context, refine the original answer to better answer the query. If the context isn't useful, return the original answer.
+Refined Answer:`,
+                warning: `Prompt can contains no variables, or up to 3 variables. Variables must be {existingAnswer}, {context} and {query}`,
+                optional: true
+            },
+            {
+                label: 'Text QA Prompt',
+                name: 'textQAPrompt',
+                type: 'string',
+                rows: 4,
+                default: `Context information is below.
+---------------------
+{context}
+---------------------
+Given the context information and not prior knowledge, answer the query.
+Query: {query}
+Answer:`,
+                warning: `Prompt can contains no variables, or up to 2 variables. Variables must be {context} and {query}`,
+                optional: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const refinePrompt = nodeData.inputs?.refinePrompt as string
+        const textQAPrompt = nodeData.inputs?.textQAPrompt as string
+
+        const refinePromptTemplate = ({ context = '', existingAnswer = '', query = '' }) =>
+            refinePrompt.replace('{existingAnswer}', existingAnswer).replace('{context}', context).replace('{query}', query)
+        const textQAPromptTemplate = ({ context = '', query = '' }) => textQAPrompt.replace('{context}', context).replace('{query}', query)
+
+        return new ResponseSynthesizerClass({ textQAPromptTemplate, refinePromptTemplate, type: 'CompactAndRefine' })
+    }
+}
+
+module.exports = { nodeClass: CompactRefine_LlamaIndex }

packages/components/nodes/responsesynthesizer/CompactRefine/compactrefine.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-layers-difference" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M16 16v2a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2v-8a2 2 0 0 1 2 -2h2v-2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-2" /><path d="M10 8l-2 0l0 2" /><path d="M8 14l0 2l2 0" /><path d="M14 8l2 0l0 2" /><path d="M16 14l0 2l-2 0" /></svg>

packages/components/nodes/responsesynthesizer/Refine/Refine.ts

@@ -0,0 +1,75 @@
+import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { ResponseSynthesizerClass } from '../base'
+
+class Refine_LlamaIndex implements INode {
+    label: string
+    name: string
+    version: number
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    tags: string[]
+    inputs: INodeParams[]
+    outputs: INodeOutputsValue[]
+
+    constructor() {
+        this.label = 'Refine'
+        this.name = 'refineLlamaIndex'
+        this.version = 1.0
+        this.type = 'Refine'
+        this.icon = 'refine.svg'
+        this.category = 'Response Synthesizer'
+        this.description =
+            'Create and refine an answer by sequentially going through each retrieved text chunk. This makes a separate LLM call per Node. Good for more detailed answers.'
+        this.baseClasses = [this.type, 'ResponseSynthesizer']
+        this.tags = ['LlamaIndex']
+        this.inputs = [
+            {
+                label: 'Refine Prompt',
+                name: 'refinePrompt',
+                type: 'string',
+                rows: 4,
+                default: `The original query is as follows: {query}
+We have provided an existing answer: {existingAnswer}
+We have the opportunity to refine the existing answer (only if needed) with some more context below.
+------------
+{context}
+------------
+Given the new context, refine the original answer to better answer the query. If the context isn't useful, return the original answer.
+Refined Answer:`,
+                warning: `Prompt can contains no variables, or up to 3 variables. Variables must be {existingAnswer}, {context} and {query}`,
+                optional: true
+            },
+            {
+                label: 'Text QA Prompt',
+                name: 'textQAPrompt',
+                type: 'string',
+                rows: 4,
+                default: `Context information is below.
+---------------------
+{context}
+---------------------
+Given the context information and not prior knowledge, answer the query.
+Query: {query}
+Answer:`,
+                warning: `Prompt can contains no variables, or up to 2 variables. Variables must be {context} and {query}`,
+                optional: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const refinePrompt = nodeData.inputs?.refinePrompt as string
+        const textQAPrompt = nodeData.inputs?.textQAPrompt as string
+
+        const refinePromptTemplate = ({ context = '', existingAnswer = '', query = '' }) =>
+            refinePrompt.replace('{existingAnswer}', existingAnswer).replace('{context}', context).replace('{query}', query)
+        const textQAPromptTemplate = ({ context = '', query = '' }) => textQAPrompt.replace('{context}', context).replace('{query}', query)
+
+        return new ResponseSynthesizerClass({ textQAPromptTemplate, refinePromptTemplate, type: 'Refine' })
+    }
+}
+
+module.exports = { nodeClass: Refine_LlamaIndex }

packages/components/nodes/responsesynthesizer/Refine/refine.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-filter-search" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M11.36 20.213l-2.36 .787v-8.5l-4.48 -4.928a2 2 0 0 1 -.52 -1.345v-2.227h16v2.172a2 2 0 0 1 -.586 1.414l-4.414 4.414" /><path d="M18 18m-3 0a3 3 0 1 0 6 0a3 3 0 1 0 -6 0" /><path d="M20.2 20.2l1.8 1.8" /></svg>

packages/components/nodes/responsesynthesizer/SimpleResponseBuilder/SimpleResponseBuilder.ts

@@ -0,0 +1,35 @@
+import { INode, INodeOutputsValue, INodeParams } from '../../../src/Interface'
+import { ResponseSynthesizerClass } from '../base'
+
+class SimpleResponseBuilder_LlamaIndex implements INode {
+    label: string
+    name: string
+    version: number
+    description: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    tags: string[]
+    inputs: INodeParams[]
+    outputs: INodeOutputsValue[]
+
+    constructor() {
+        this.label = 'Simple Response Builder'
+        this.name = 'simpleResponseBuilderLlamaIndex'
+        this.version = 1.0
+        this.type = 'SimpleResponseBuilder'
+        this.icon = 'simplerb.svg'
+        this.category = 'Response Synthesizer'
+        this.description = `Apply a query to a collection of text chunks, gathering the responses in an array, and return a combined string of all responses. Useful for individual queries on each text chunk.`
+        this.baseClasses = [this.type, 'ResponseSynthesizer']
+        this.tags = ['LlamaIndex']
+        this.inputs = []
+    }
+
+    async init(): Promise<any> {
+        return new ResponseSynthesizerClass({ type: 'SimpleResponseBuilder' })
+    }
+}
+
+module.exports = { nodeClass: SimpleResponseBuilder_LlamaIndex }

packages/components/nodes/responsesynthesizer/SimpleResponseBuilder/simplerb.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-quote" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M10 11h-4a1 1 0 0 1 -1 -1v-3a1 1 0 0 1 1 -1h3a1 1 0 0 1 1 1v6c0 2.667 -1.333 4.333 -4 5" /><path d="M19 11h-4a1 1 0 0 1 -1 -1v-3a1 1 0 0 1 1 -1h3a1 1 0 0 1 1 1v6c0 2.667 -1.333 4.333 -4 5" /></svg>

packages/components/nodes/responsesynthesizer/TreeSummarize/TreeSummarize.ts

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

packages/components/nodes/responsesynthesizer/TreeSummarize/treesummarize.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-tree" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M12 13l-2 -2" /><path d="M12 12l2 -2" /><path d="M12 21v-13" /><path d="M9.824 16a3 3 0 0 1 -2.743 -3.69a3 3 0 0 1 .304 -4.833a3 3 0 0 1 4.615 -3.707a3 3 0 0 1 4.614 3.707a3 3 0 0 1 .305 4.833a3 3 0 0 1 -2.919 3.695h-4z" /></svg>

packages/components/nodes/responsesynthesizer/base.ts

@@ -0,0 +1,11 @@
+export class ResponseSynthesizerClass {
+    type: string
+    textQAPromptTemplate?: any
+    refinePromptTemplate?: any
+
+    constructor(params: { type: string; textQAPromptTemplate?: any; refinePromptTemplate?: any }) {
+        this.type = params.type
+        this.textQAPromptTemplate = params.textQAPromptTemplate
+        this.refinePromptTemplate = params.refinePromptTemplate
+    }
+}