add multi retrieval qa chain

2026-06-28 15:00:57 +03:00 · 2023-05-25 13:50:11 +01:00
parent 2802ee0142
commit 769b4ea567
7 changed files with 1023 additions and 1 deletions
@@ -0,0 +1,68 @@
+import { BaseLanguageModel } from 'langchain/base_language'
+import { INode, INodeData, INodeParams, VectorStoreRetriever } from '../../../src/Interface'
+import { getBaseClasses } from '../../../src/utils'
+import { MultiRetrievalQAChain } from 'langchain/chains'
+
+class MultiRetrievalQAChain_Chains implements INode {
+    label: string
+    name: string
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    description: string
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Multi Retrieval QA Chain'
+        this.name = 'multiRetrievalQAChain'
+        this.type = 'MultiRetrievalQAChain'
+        this.icon = 'chain.svg'
+        this.category = 'Chains'
+        this.description = 'QA Chain that automatically picks an appropriate vector store from multiple retrievers'
+        this.baseClasses = [this.type, ...getBaseClasses(MultiRetrievalQAChain)]
+        this.inputs = [
+            {
+                label: 'Language Model',
+                name: 'model',
+                type: 'BaseLanguageModel'
+            },
+            {
+                label: 'Vector Store Retriever',
+                name: 'vectorStoreRetriever',
+                type: 'VectorStoreRetriever',
+                list: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const model = nodeData.inputs?.model as BaseLanguageModel
+        const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever as VectorStoreRetriever[]
+        const retrieverNames = []
+        const retrieverDescriptions = []
+        const retrievers = []
+
+        for (const vs of vectorStoreRetriever) {
+            retrieverNames.push(vs.name)
+            retrieverDescriptions.push(vs.description)
+            retrievers.push(vs.vectorStore.asRetriever())
+        }
+
+        const chain = MultiRetrievalQAChain.fromRetrievers(model, retrieverNames, retrieverDescriptions, retrievers, undefined, {
+            verbose: process.env.DEBUG === 'true' ? true : false
+        } as any)
+
+        return chain
+    }
+
+    async run(nodeData: INodeData, input: string): Promise<string> {
+        const chain = nodeData.instance as MultiRetrievalQAChain
+
+        const res = await chain.call({ input })
+
+        return res?.text
+    }
+}
+
+module.exports = { nodeClass: MultiRetrievalQAChain_Chains }
@@ -0,0 +1,6 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-dna" 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>
+   <path d="M14.828 14.828a4 4 0 1 0 -5.656 -5.656a4 4 0 0 0 5.656 5.656z"></path>
+   <path d="M9.172 20.485a4 4 0 1 0 -5.657 -5.657"></path>
+   <path d="M14.828 3.515a4 4 0 0 0 5.657 5.657"></path>
+</svg>