Add more nodes for agents, loaders

2026-06-28 15:00:57 +03:00 · 2023-04-10 13:56:44 +01:00
parent 05c86ff9c5
commit 58e06718d1
57 changed files with 1584 additions and 89 deletions
@@ -0,0 +1,74 @@
+import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+
+class ConversationalRetrievalQAChain_Chains implements INode {
+    label: string
+    name: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    description: string
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Conversational Retrieval QA Chain'
+        this.name = 'conversationalRetrievalQAChain'
+        this.type = 'ConversationalRetrievalQAChain'
+        this.icon = 'chain.svg'
+        this.category = 'Chains'
+        this.description = 'Document QA - built on RetrievalQAChain to provide a chat history component'
+        this.inputs = [
+            {
+                label: 'LLM',
+                name: 'llm',
+                type: 'BaseLanguageModel'
+            },
+            {
+                label: 'Vector Store Retriever',
+                name: 'vectorStoreRetriever',
+                type: 'BaseRetriever'
+            }
+        ]
+    }
+
+    async getBaseClasses(): Promise<string[]> {
+        const { ConversationalRetrievalQAChain } = await import('langchain/chains')
+        return getBaseClasses(ConversationalRetrievalQAChain)
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const { ConversationalRetrievalQAChain } = await import('langchain/chains')
+
+        const llm = nodeData.inputs?.llm
+        const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever
+
+        const chain = ConversationalRetrievalQAChain.fromLLM(llm, vectorStoreRetriever)
+        return chain
+    }
+
+    async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
+        const chain = nodeData.instance
+        let chatHistory = ''
+
+        if (options && options.chatHistory) {
+            const histories: IMessage[] = options.chatHistory
+            chatHistory = histories
+                .map((item) => {
+                    return item.message
+                })
+                .join('')
+        }
+
+        const obj = {
+            question: input,
+            chat_history: chatHistory ? chatHistory : []
+        }
+
+        const res = await chain.call(obj)
+
+        return res?.text
+    }
+}
+
+module.exports = { nodeClass: ConversationalRetrievalQAChain_Chains }