Feature/Add Neo4j GraphRag support (#3686)

* added: Neo4j database connectivity, Neo4j credentials, supports the usage of the GraphCypherQaChain node and modifies the FewShotPromptTemplate node to handle variables from the prefix field.

* Merge branch 'main' of github.com:FlowiseAI/Flowise into feature/graphragsupport

* revert pnpm-lock.yaml

* add: neo4j package

* Refactor GraphCypherQAChain: Update version to 1.0, remove memory input, and enhance prompt handling

- Changed version from 2.0 to 1.0.
- Removed the 'Memory' input parameter from the GraphCypherQAChain.
- Made 'cypherPrompt' optional and improved error handling for prompt validation.
- Updated the 'init' and 'run' methods to streamline input processing and response handling.
- Enhanced streaming response logic based on the 'returnDirect' flag.

* Refactor GraphCypherQAChain: Simplify imports and update init method signature

- Consolidated import statements for better readability.
- Removed the 'input' and 'options' parameters from the 'init' method, streamlining its signature to only accept 'nodeData'.

* add output, format final response, fix optional inputs

---------

Co-authored-by: Henry <[email protected]>

Author: ghondar

Diff for: packages/components/credentials/Neo4jApi.credential.ts

@@ -0,0 +1,39 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class Neo4jApi implements INodeCredential {
+    label: string
+    name: string
+    version: number
+    description: string
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Neo4j API'
+        this.name = 'neo4jApi'
+        this.version = 1.0
+        this.description =
+            'Refer to <a target="_blank" href="https://neo4j.com/docs/operations-manual/current/authentication-authorization/">official guide</a> on Neo4j authentication'
+        this.inputs = [
+            {
+                label: 'Neo4j URL',
+                name: 'url',
+                type: 'string',
+                description: 'Your Neo4j instance URL (e.g., neo4j://localhost:7687)'
+            },
+            {
+                label: 'Username',
+                name: 'username',
+                type: 'string',
+                description: 'Neo4j database username'
+            },
+            {
+                label: 'Password',
+                name: 'password',
+                type: 'password',
+                description: 'Neo4j database password'
+            }
+        ]
+    }
+}
+
+module.exports = { credClass: Neo4jApi }

Diff for: packages/components/nodes/chains/GraphCypherQAChain/GraphCypherQAChain.ts

@@ -0,0 +1,256 @@
+import { ICommonObject, INode, INodeData, INodeParams, INodeOutputsValue, IServerSideEventStreamer } from '../../../src/Interface'
+import { FromLLMInput, GraphCypherQAChain } from '@langchain/community/chains/graph_qa/cypher'
+import { getBaseClasses } from '../../../src/utils'
+import { BasePromptTemplate, PromptTemplate, FewShotPromptTemplate } from '@langchain/core/prompts'
+import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
+import { ConsoleCallbackHandler as LCConsoleCallbackHandler } from '@langchain/core/tracers/console'
+import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation'
+import { formatResponse } from '../../outputparsers/OutputParserHelpers'
+
+class GraphCypherQA_Chain implements INode {
+    label: string
+    name: string
+    version: number
+    type: string
+    icon: string
+    category: string
+    description: string
+    baseClasses: string[]
+    inputs: INodeParams[]
+    sessionId?: string
+    outputs: INodeOutputsValue[]
+
+    constructor(fields?: { sessionId?: string }) {
+        this.label = 'Graph Cypher QA Chain'
+        this.name = 'graphCypherQAChain'
+        this.version = 1.0
+        this.type = 'GraphCypherQAChain'
+        this.icon = 'graphqa.svg'
+        this.category = 'Chains'
+        this.description = 'Advanced chain for question-answering against a Neo4j graph by generating Cypher statements'
+        this.baseClasses = [this.type, ...getBaseClasses(GraphCypherQAChain)]
+        this.sessionId = fields?.sessionId
+        this.inputs = [
+            {
+                label: 'Language Model',
+                name: 'model',
+                type: 'BaseLanguageModel',
+                description: 'Model for generating Cypher queries and answers.'
+            },
+            {
+                label: 'Neo4j Graph',
+                name: 'graph',
+                type: 'Neo4j'
+            },
+            {
+                label: 'Cypher Generation Prompt',
+                name: 'cypherPrompt',
+                optional: true,
+                type: 'BasePromptTemplate',
+                description: 'Prompt template for generating Cypher queries. Must include {schema} and {question} variables'
+            },
+            {
+                label: 'Cypher Generation Model',
+                name: 'cypherModel',
+                optional: true,
+                type: 'BaseLanguageModel',
+                description: 'Model for generating Cypher queries. If not provided, the main model will be used.'
+            },
+            {
+                label: 'QA Prompt',
+                name: 'qaPrompt',
+                optional: true,
+                type: 'BasePromptTemplate',
+                description: 'Prompt template for generating answers. Must include {context} and {question} variables'
+            },
+            {
+                label: 'QA Model',
+                name: 'qaModel',
+                optional: true,
+                type: 'BaseLanguageModel',
+                description: 'Model for generating answers. If not provided, the main model will be used.'
+            },
+            {
+                label: 'Input Moderation',
+                description: 'Detect text that could generate harmful output and prevent it from being sent to the language model',
+                name: 'inputModeration',
+                type: 'Moderation',
+                optional: true,
+                list: true
+            },
+            {
+                label: 'Return Direct',
+                name: 'returnDirect',
+                type: 'boolean',
+                default: false,
+                optional: true,
+                description: 'If true, return the raw query results instead of using the QA chain'
+            }
+        ]
+        this.outputs = [
+            {
+                label: 'Graph Cypher QA Chain',
+                name: 'graphCypherQAChain',
+                baseClasses: [this.type, ...getBaseClasses(GraphCypherQAChain)]
+            },
+            {
+                label: 'Output Prediction',
+                name: 'outputPrediction',
+                baseClasses: ['string', 'json']
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, input: string, options: ICommonObject): Promise<any> {
+        const model = nodeData.inputs?.model
+        const cypherModel = nodeData.inputs?.cypherModel
+        const qaModel = nodeData.inputs?.qaModel
+        const graph = nodeData.inputs?.graph
+        const cypherPrompt = nodeData.inputs?.cypherPrompt as BasePromptTemplate | FewShotPromptTemplate | undefined
+        const qaPrompt = nodeData.inputs?.qaPrompt as BasePromptTemplate | undefined
+        const returnDirect = nodeData.inputs?.returnDirect as boolean
+        const output = nodeData.outputs?.output as string
+
+        // Handle prompt values if they exist
+        let cypherPromptTemplate: PromptTemplate | FewShotPromptTemplate | undefined
+        let qaPromptTemplate: PromptTemplate | undefined
+
+        if (cypherPrompt) {
+            if (cypherPrompt instanceof PromptTemplate) {
+                cypherPromptTemplate = new PromptTemplate({
+                    template: cypherPrompt.template as string,
+                    inputVariables: cypherPrompt.inputVariables
+                })
+                if (!qaPrompt) {
+                    throw new Error('QA Prompt is required when Cypher Prompt is a Prompt Template')
+                }
+            } else if (cypherPrompt instanceof FewShotPromptTemplate) {
+                const examplePrompt = cypherPrompt.examplePrompt as PromptTemplate
+                cypherPromptTemplate = new FewShotPromptTemplate({
+                    examples: cypherPrompt.examples,
+                    examplePrompt: examplePrompt,
+                    inputVariables: cypherPrompt.inputVariables,
+                    prefix: cypherPrompt.prefix,
+                    suffix: cypherPrompt.suffix,
+                    exampleSeparator: cypherPrompt.exampleSeparator,
+                    templateFormat: cypherPrompt.templateFormat
+                })
+            } else {
+                cypherPromptTemplate = cypherPrompt as PromptTemplate
+            }
+        }
+
+        if (qaPrompt instanceof PromptTemplate) {
+            qaPromptTemplate = new PromptTemplate({
+                template: qaPrompt.template as string,
+                inputVariables: qaPrompt.inputVariables
+            })
+        }
+
+        if ((!cypherModel || !qaModel) && !model) {
+            throw new Error('Language Model is required when Cypher Model or QA Model are not provided')
+        }
+
+        // Validate required variables in prompts
+        if (
+            cypherPromptTemplate &&
+            (!cypherPromptTemplate?.inputVariables.includes('schema') || !cypherPromptTemplate?.inputVariables.includes('question'))
+        ) {
+            throw new Error('Cypher Generation Prompt must include {schema} and {question} variables')
+        }
+
+        const fromLLMInput: FromLLMInput = {
+            llm: model,
+            graph,
+            returnDirect
+        }
+
+        if (cypherModel && cypherPromptTemplate) {
+            fromLLMInput['cypherLLM'] = cypherModel
+            fromLLMInput['cypherPrompt'] = cypherPromptTemplate
+        }
+
+        if (qaModel && qaPromptTemplate) {
+            fromLLMInput['qaLLM'] = qaModel
+            fromLLMInput['qaPrompt'] = qaPromptTemplate
+        }
+
+        const chain = GraphCypherQAChain.fromLLM(fromLLMInput)
+
+        if (output === this.name) {
+            return chain
+        } else if (output === 'outputPrediction') {
+            nodeData.instance = chain
+            return await this.run(nodeData, input, options)
+        }
+
+        return chain
+    }
+
+    async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string | object> {
+        const chain = nodeData.instance as GraphCypherQAChain
+        const moderations = nodeData.inputs?.inputModeration as Moderation[]
+        const returnDirect = nodeData.inputs?.returnDirect as boolean
+
+        const shouldStreamResponse = options.shouldStreamResponse
+        const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer
+        const chatId = options.chatId
+
+        // Handle input moderation if configured
+        if (moderations && moderations.length > 0) {
+            try {
+                input = await checkInputs(moderations, input)
+            } catch (e) {
+                await new Promise((resolve) => setTimeout(resolve, 500))
+                if (shouldStreamResponse) {
+                    streamResponse(sseStreamer, chatId, e.message)
+                }
+                return formatResponse(e.message)
+            }
+        }
+
+        const obj = {
+            query: input
+        }
+
+        const loggerHandler = new ConsoleCallbackHandler(options.logger)
+        const callbackHandlers = await additionalCallbacks(nodeData, options)
+        let callbacks = [loggerHandler, ...callbackHandlers]
+
+        if (process.env.DEBUG === 'true') {
+            callbacks.push(new LCConsoleCallbackHandler())
+        }
+
+        try {
+            let response
+            if (shouldStreamResponse) {
+                if (returnDirect) {
+                    response = await chain.invoke(obj, { callbacks })
+                    let result = response?.result
+                    if (typeof result === 'object') {
+                        result = '```json\n' + JSON.stringify(result, null, 2)
+                    }
+                    if (result && typeof result === 'string') {
+                        streamResponse(sseStreamer, chatId, result)
+                    }
+                } else {
+                    const handler = new CustomChainHandler(sseStreamer, chatId, 2)
+                    callbacks.push(handler)
+                    response = await chain.invoke(obj, { callbacks })
+                }
+            } else {
+                response = await chain.invoke(obj, { callbacks })
+            }
+
+            return formatResponse(response?.result)
+        } catch (error) {
+            console.error('Error in GraphCypherQAChain:', error)
+            if (shouldStreamResponse) {
+                streamResponse(sseStreamer, chatId, error.message)
+            }
+            return formatResponse(`Error: ${error.message}`)
+        }
+    }
+}
+
+module.exports = { nodeClass: GraphCypherQA_Chain }