n8n AI-Powered Email Automation: Summarize & Respond with RAG

Overview

Type: OpenAI & LLMs Workflow
Node Types: emailReadImap, markdown, lmChatOpenAi, emailSend, vectorStoreQdrant, embeddingsOpenAi, textClassifier, chainSummarization, agent, chainLlm, manualTrigger, httpRequest, googleDrive, documentDefaultDataLoader, textSplitterTokenSplitter, stickyNote, noOp, ai_languageModel, main, ai_textSplitter, ai_embedding, ai_document, ai_tool
Estimated Time: 12 min
Complexity: ⭐⭐⭐ Complex

📧 n8n AI-Powered Email Automation: Summarize & Respond with RAG

This workflow automates email responses by summarizing incoming emails, classifying their intent, and generating context-aware replies using a Retrieval Augmented Generation (RAG) system. It’s ideal for businesses looking to streamline customer support, internal communications, or any process involving high volumes of email inquiries.

🔧 Workflow Steps:

  1. Email Trigger (IMAP): Initiates the workflow upon the arrival of a new email in your IMAP inbox.
  2. Markdown: Converts the incoming email’s HTML content into a clean Markdown format, optimizing it for processing by Language Model (LLM) nodes.
  3. Email Summarization Chain: Utilizes a DeepSeek R1 model (configurable to any LLM) to generate a concise summary of the email, enabling quick comprehension of its main points.
  4. Email Classifier: Classifies the summarized email into predefined categories (e.g., “Company info request”). This helps in routing or handling emails based on their content, allowing specific branches of the workflow to execute.
  5. Qdrant Vector Store (Retrieve as Tool): Acts as a tool to retrieve relevant information from your company’s knowledge base stored in Qdrant, providing context for generating accurate responses.
  6. Embeddings OpenAI: Generates vector embeddings for text, crucial for the RAG system to find relevant documents within the Qdrant vector store.
  7. Write email: An AI agent (e.g., utilizing DeepSeek R1) crafts a professional and concise email reply, leveraging the summarized email and any relevant information retrieved from the knowledge base.
  8. Review email: A dedicated LLM (e.g., DeepSeek) reviews the drafted email, ensuring it’s well-structured, professional, and formatted correctly in HTML, including appropriate tags like <br>, <b>, <i>, and <p>.
  9. Send Email: Dispatches the final, reviewed email reply to the original sender.
  10. RAG System Setup Nodes (When clicking ‘Test workflow’, Create collection, Refresh collection, Get folder, Download Files, Default Data Loader, Token Splitter, Qdrant Vector Store1, Embeddings OpenAI1): These nodes facilitate the initial setup and population of your Qdrant knowledge base. They enable creating and refreshing collections, fetching documents from Google Drive, loading them, splitting them into manageable chunks, and embedding them into the Qdrant vector store for efficient retrieval.

📌 Use Cases:

  • Automated customer support for frequently asked questions.
  • Efficiently manage and respond to sales inquiries.
  • Streamline internal communication by auto-summarizing team updates.
  • Quickly generate replies to common business correspondence.
  • Build a self-serving knowledge base for AI to reference in email replies.

🧰 Required Credentials:

  • IMAP Account
  • SMTP Account
  • OpenAI Account (for Embeddings and GPT-4o-mini)
  • OpenRouter Account (for DeepSeek R1)
  • Qdrant API Account
  • Google Drive Account

⚙️ Notes & Enhancements:

  • The workflow includes a comprehensive RAG setup for populating a Qdrant vector database with information from Google Drive, enabling context-aware AI responses.
  • Multiple LLM models are utilized, including DeepSeek R1 for summarization and email writing, and GPT-4o-mini for email classification and review, allowing for specialized task handling.
  • The “Email Classifier” node can be expanded with more categories to handle a wider range of email intents.
  • The system message for the “Write email” and “Review email” nodes can be fine-tuned for specific tone and style requirements.
  • The workflow includes initial setup nodes to create and refresh the Qdrant collection, making it easy to manage your knowledge base.

Workflow Editor Screenshot

Workflow Screenshot

Workflow JSON Code

{
"id": "q8IFGLeOCGSfoWZu",
"meta": {
"instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
"templateCredsSetupCompleted": true
},
"name": "Email AI Auto-responder. Summerize and send email",
"tags": [],
"nodes": [
{
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"name": "Email Trigger (IMAP)",
"type": "n8n-nodes-base.emailReadImap",
"position": [
-440,
-20
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"parameters": {
"options": {}
},
"credentials": {
"imap": {
"id": "k31W9oGddl9pMDy4",
"name": "IMAP info@n3witalia.com"
}
},
"typeVersion": 2
},
{
"id": "b268ab9d-b2e3-46e6-b7ae-70aff0b5484d",
"name": "Markdown",
"type": "n8n-nodes-base.markdown",
"position": [
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-20
],
"parameters": {
"html": "={{ $json.textHtml }}",
"options": {}
},
"typeVersion": 1
},
{
"id": "13c2d151-6f59-4e1f-a174-02d4d0bcaefd",
"name": "DeepSeek R1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "deepseek/deepseek-r1:free",
"cachedResultName": "deepseek/deepseek-r1:free"
},
"options": {}
},
"credentials": {
"openAiApi": {
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},
{
"id": "8149e40d-64e6-4fb9-aebc-2a2483961f07",
"name": "Send Email",
"type": "n8n-nodes-base.emailSend",
"position": [
500,
340
],
"parameters": {
"html": "={{ $json.text }}",
"options": {},
"subject": "=Re: {{ $('Email Trigger (IMAP)').item.json.subject }}",
"toEmail": "={{ $('Email Trigger (IMAP)').item.json.from }}",
"fromEmail": "={{ $('Email Trigger (IMAP)').item.json.to }}"
},
"credentials": {
"smtp": {
"id": "hRjP3XbDiIQqvi7x",
"name": "SMTP info@n3witalia.com"
}
},
"typeVersion": 2.1
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{
"id": "633f0ce9-04ff-4653-8bbc-7457ba0d18bd",
"name": "Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
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600
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"parameters": {
"mode": "retrieve-as-tool",
"options": {},
"toolName": "company_knowladge_base",
"toolDescription": "Extracts information regarding the request made.",
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "=COLLECTION"
},
"includeDocumentMetadata": false
},
"credentials": {
"qdrantApi": {
"id": "iyQ6MQiVaF3VMBmt",
"name": "QdrantApi account"
}
},
"typeVersion": 1
},
{
"id": "20daf5d3-dc9c-4fad-9f2f-98d86bc1660c",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
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760
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"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "CDX6QM4gLYanh0P4",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "67699bca-4096-4259-bbd4-51a879539aca",
"name": "Email Classifier",
"type": "@n8n/n8n-nodes-langchain.textClassifier",
"position": [
360,
-20
],
"parameters": {
"options": {
"fallback": "other",
"multiClass": false,
"enableAutoFixing": true,
"systemPromptTemplate": "Please classify the text provided by the user into one of the following categories: {categories}, and use the provided formatting instructions below. Don't explain, and only output the json.\n"
},
"inputText": "=You must classify the following email::\n\n{{ $json.response.text }}",
"categories": {
"categories": [
{
"category": "Company info request",
"description": "Company info request"
}
]
}
},
"typeVersion": 1
},
{
"id": "9f7742e9-87d5-40b9-9129-0777d8a37933",
"name": "Email Summarization Chain",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
0,
-20
],
"parameters": {
"options": {
"binaryDataKey": "={{ $json.data }}",
"summarizationMethodAndPrompts": {
"values": {
"prompt": "=Write a concise summary of the following in max 100 words:\n\n\"{{ $json.data }}\"\n\nDo not enter the total number of words used.",
"combineMapPrompt": "=Write a concise summary of the following in max 100 words:\n\n\"{{ $json.data }}\"\n"
}
}
},
"operationMode": "nodeInputBinary"
},
"typeVersion": 2
},
{
"id": "e2d404c0-2aad-407d-b75e-5ef0c5105c0e",
"name": "Write email",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-440,
340
],
"parameters": {
"text": "=Write the text to reply to the following email:\n\n{{ $json.response.text }}",
"options": {
"systemMessage": "You are an expert at answering emails. You need to answer them professionally based on the information you have. This is a business email. Be concise and never exceed 100 words."
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "3786c2de-c5cb-4233-826e-7265f2bccbdb",
"name": "Review email",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
40,
340
],
"parameters": {
"text": "=Review at the following email:\n\n{{ $json.output }}",
"messages": {
"messageValues": [
{
"message": "=If you are an expert in reviewing emails before sending them. You need to review and structure them in such a way that you can send them. It must be in HTML format and you can insert (if you think it is appropriate) only HTML characters such as <br>, <b>, <i>, <p> where necessary.\n\nNon superare le 100 parole."
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "baf60eba-5e7b-467f-b27e-1388a91622d0",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-500,
-980
],
"parameters": {},
"typeVersion": 1
},
{
"id": "77e6160f-20a7-4a75-9fef-bc875b953a16",
"name": "Create collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
-200,
-1120
],
"parameters": {
"url": "https://QDRANTURL/collections/COLLECTION",
"method": "POST",
"options": {},
"jsonBody": "{\n \"filter\": {}\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "qhny6r5ql9wwotpn",
"name": "Qdrant API (Hetzner)"
}
},
"typeVersion": 4.2
},
{
"id": "ab7764d1-531c-4281-8b89-015fb3f5e780",
"name": "Refresh collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
-200,
-860
],
"parameters": {
"url": "https://QDRANTURL/collections/COLLECTION/points/delete",
"method": "POST",
"options": {},
"jsonBody": "{\n \"filter\": {}\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
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{
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"credentials": {
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"name": "Qdrant API (Hetzner)"
}
},
"typeVersion": 4.2
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{
"id": "cd3eaa81-0f94-484b-b0c2-ecf0ca4541dc",
"name": "Get folder",
"type": "n8n-nodes-base.googleDrive",
"position": [
20,
-860
],
"parameters": {
"filter": {
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive",
"cachedResultName": "My Drive"
},
"folderId": {
"__rl": true,
"mode": "id",
"value": "=test-whatsapp"
}
},
"options": {},
"resource": "fileFolder"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "HEy5EuZkgPZVEa9w",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "b39ecd2d-4d5b-4885-86a9-2cfe9f6074ef",
"name": "Download Files",
"type": "n8n-nodes-base.googleDrive",
"position": [
240,
-860
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {
"googleFileConversion": {
"conversion": {
"docsToFormat": "text/plain"
}
}
},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "HEy5EuZkgPZVEa9w",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
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"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
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{
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"name": "Token Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
"position": [
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],
"parameters": {
"chunkSize": 300,
"chunkOverlap": 30
},
"typeVersion": 1
},
{
"id": "57b6a4f3-e935-4058-bfdf-309d606c0ca9",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 6,
"width": 880,
"height": 220,
"content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
},
"typeVersion": 1
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{
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"name": "Qdrant Vector Store1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
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"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "=COLLECTION"
}
},
"credentials": {
"qdrantApi": {
"id": "iyQ6MQiVaF3VMBmt",
"name": "QdrantApi account"
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{
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"parameters": {
"options": {}
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"credentials": {
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"name": "OpenAi account"
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{
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"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 4,
"width": 620,
"height": 400,
"content": "# STEP 2\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
},
"typeVersion": 1
},
{
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"name": "Do nothing",
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "386c27cb-6e69-4d96-a8ab-8cfd43e6b171",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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580
],
"parameters": {
"model": {
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"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "CDX6QM4gLYanh0P4",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "0bd17bef-e205-464e-9b36-dcda75254e06",
"name": "DeepSeek",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
40,
540
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "deepseek/deepseek-r1:free",
"cachedResultName": "deepseek/deepseek-r1:free"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XJTqRiKFJpFs5MuX",
"name": "OpenRouter account"
}
},
"typeVersion": 1.2
},
{
"id": "3e68a65f-af29-432f-8159-4a599e8a0866",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-540,
-320
],
"parameters": {
"width": 1620,
"height": 240,
"content": "# STEP 3 - MAIN FLOW\n\n- Transform the email into Markdown format for optimal reading by the LLM model\n- Email Summarization through DeepSeek R1 (any model can be used)\n- I classify the email in such a way as to continue only with emails regarding general information about the company. In this way I can respond independently through the information obtained from the vector database\n- I create a chain where I entrust the review of the email to a high-performance model designed for this purpose\n- I send the response email\n\n\n"
},
"typeVersion": 1
},
{
"id": "3b6ae6aa-75a8-4038-bbc2-248ab533b3ab",
"name": "OpenAI 4-o-mini",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
360,
160
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "CDX6QM4gLYanh0P4",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
}
],
"active": false,
"pinData": {
"Email Trigger (IMAP)": [
{
"json": {
"to": "info@n3witalia.com",
"date": "Wed, 5 Feb 2025 13:38:51 +0100",
"from": "n3w Italia <info@n3w.it>",
"subject": "Richiesta di informazioni aziendali",
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"textHtml": "<div dir=\"ltr\">mi chiamo Davide e sto scrivendo per richiedere alcune informazioni riguardanti il vostro negozio di tecnologia. Sto valutando diverse opzioni per [motivo della richiesta, ad esempio: acquistare un nuovo dispositivo, richiedere assistenza tecnica, o esplorare servizi aziendali] e sarei grato se poteste fornirmi alcuni dettagli utili.<br><br>In particolare, avrei bisogno di sapere:<br><br>Gli orari di apertura del vostro negozio, inclusi eventuali giorni di chiusura o orari ridotti durante i festivi.<br><br>Se offrite servizi di assistenza tecnica per dispositivi elettronici e, in caso affermativo, quali tipologie di dispositivi supportate (es. smartphone, computer, tablet).<br><br>Se disponete di un catalogo prodotti aggiornato o un sito web dove posso consultare l’offerta disponibile.<br><br>Se effettuate consegne a domicilio o se è possibile prenotare prodotti online per il ritiro in negozio.<br><br>Se offrite sconti o promozioni per studenti, aziende o clienti abituali.<br><br>Se organizzate eventi o workshop legati alla tecnologia, come corsi di formazione o presentazioni di nuovi prodotti.<br><br>Inoltre, sarei interessato a sapere se il vostro negozio aderisce a programmi di riciclo di dispositivi elettronici o se offrite servizi di smaltimento ecologico per apparecchiature obsolete.<br><br>Se possibile, gradirei ricevere anche informazioni sui metodi di pagamento accettati (es. carte di credito, PayPal, finanziamenti) e se è possibile richiedere un preventivo personalizzato per acquisti di grandi dimensioni.<br><br>Resto a disposizione per eventuali chiarimenti o per fornire ulteriori dettagli sulle mie esigenze. Vi ringrazio in anticipo per il tempo dedicato alla mia richiesta e attendo con interesse una vostra risposta.<br><br>Cordiali saluti,</div>\r\n",
"textPlain": "mi chiamo Davide e sto scrivendo per richiedere alcune informazioni\r\nriguardanti il vostro negozio di tecnologia. Sto valutando diverse opzioni\r\nper [motivo della richiesta, ad esempio: acquistare un nuovo dispositivo,\r\nrichiedere assistenza tecnica, o esplorare servizi aziendali] e sarei grato\r\nse poteste fornirmi alcuni dettagli utili.\r\n\r\nIn particolare, avrei bisogno di sapere:\r\n\r\nGli orari di apertura del vostro negozio, inclusi eventuali giorni di\r\nchiusura o orari ridotti durante i festivi.\r\n\r\nSe offrite servizi di assistenza tecnica per dispositivi elettronici e, in\r\ncaso affermativo, quali tipologie di dispositivi supportate (es.\r\nsmartphone, computer, tablet).\r\n\r\nSe disponete di un catalogo prodotti aggiornato o un sito web dove posso\r\nconsultare l’offerta disponibile.\r\n\r\nSe effettuate consegne a domicilio o se è possibile prenotare prodotti\r\nonline per il ritiro in negozio.\r\n\r\nSe offrite sconti o promozioni per studenti, aziende o clienti abituali.\r\n\r\nSe organizzate eventi o workshop legati alla tecnologia, come corsi di\r\nformazione o presentazioni di nuovi prodotti.\r\n\r\nInoltre, sarei interessato a sapere se il vostro negozio aderisce a\r\nprogrammi di riciclo di dispositivi elettronici o se offrite servizi di\r\nsmaltimento ecologico per apparecchiature obsolete.\r\n\r\nSe possibile, gradirei ricevere anche informazioni sui metodi di pagamento\r\naccettati (es. carte di credito, PayPal, finanziamenti) e se è possibile\r\nrichiedere un preventivo personalizzato per acquisti di grandi dimensioni.\r\n\r\nResto a disposizione per eventuali chiarimenti o per fornire ulteriori\r\ndettagli sulle mie esigenze. Vi ringrazio in anticipo per il tempo dedicato\r\nalla mia richiesta e attendo con interesse una vostra risposta.\r\n\r\nCordiali saluti,\r\n"
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"text": "Davide contatta il negozio di tecnologia per richiedere informazioni in merito a: orari di apertura (compresi festivi e chiusure), assistenza tecnica (specificando dispositivi supportati come smartphone, computer, tablet), disponibilità di catalogo aggiornato/sito web, opzioni di consegna a domicilio o ritiro in negozio, sconti per studenti/aziende/clienti abituali, eventi/workshop tematici, programmi di riciclo/smaltimento ecologico, metodi di pagamento accettati (carte, PayPal, finanziamenti) e preventivi personalizzati per acquisti consistenti. Si rende disponibile per ulteriori chiarimenti e ringrazia per la risposta. (99 parole)"
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