diff --git a/packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts b/packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts
index 5b43ffc1369..0a4de643df1 100644
--- a/packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts
+++ b/packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts
@@ -1,6 +1,7 @@
 import { BaseRetriever } from '@langchain/core/retrievers'
 import { BaseLanguageModel } from '@langchain/core/language_models/base'
 import { RetrievalQAChain } from 'langchain/chains'
+import { BasePromptTemplate } from '@langchain/core/prompts'
 import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
 import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer } from '../../../src/Interface'
 import { getBaseClasses } from '../../../src/utils'
@@ -38,6 +39,18 @@ class RetrievalQAChain_Chains implements INode {
                 name: 'vectorStoreRetriever',
                 type: 'BaseRetriever'
             },
+            {
+                label: 'Prompt',
+                name: 'prompt',
+                type: 'BasePromptTemplate',
+                optional: true
+            },
+            {
+                label: 'Return Source Documents',
+                name: 'returnSourceDocuments',
+                type: 'boolean',
+                optional: true
+            },
             {
                 label: 'Input Moderation',
                 description: 'Detect text that could generate harmful output and prevent it from being sent to the language model',
@@ -51,9 +64,15 @@ class RetrievalQAChain_Chains implements INode {
 
     async init(nodeData: INodeData): Promise<any> {
         const model = nodeData.inputs?.model as BaseLanguageModel
+        const prompt = nodeData.inputs?.prompt as BasePromptTemplate | undefined
         const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever as BaseRetriever
+        const returnSourceDocuments = nodeData.inputs?.returnSourceDocuments as boolean
 
-        const chain = RetrievalQAChain.fromLLM(model, vectorStoreRetriever, { verbose: process.env.DEBUG === 'true' ? true : false })
+        const chain = RetrievalQAChain.fromLLM(model, vectorStoreRetriever, {
+            prompt,
+            returnSourceDocuments,
+            verbose: process.env.DEBUG === 'true' ? true : false
+        })
         return chain
     }
 
@@ -86,9 +105,11 @@ class RetrievalQAChain_Chains implements INode {
         if (shouldStreamResponse) {
             const handler = new CustomChainHandler(sseStreamer, chatId)
             const res = await chain.call(obj, [loggerHandler, handler, ...callbacks])
+            if (res.text && res.sourceDocuments) return res
             return res?.text
         } else {
             const res = await chain.call(obj, [loggerHandler, ...callbacks])
+            if (res.text && res.sourceDocuments) return res
             return res?.text
         }
     }