Email AI Auto-responder. Summerize and send email
Configured with Agent, Chain LLM, Chain Summarization, Document Default Data Loader, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Messaging
- Transform
- AI & models
- Data store
- Trigger
- Web / API
- Files / media
- Routing
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| Email Trigger (IMAP) | Messaging | Email Read Imap | See node parameters |
| Markdown | Transform | Markdown | See node parameters |
| DeepSeek R1 | AI & models | OpenAI Chat Model | See node parameters |
| Send Email | Messaging | Email Send | See node parameters |
| Qdrant Vector Store | Data store | Vector Store Qdrant | See node parameters |
| Embeddings OpenAI | AI & models | Embeddings Open Ai | See node parameters |
| Email Classifier | AI & models | Text Classifier | See node parameters |
| Email Summarization Chain | AI & models | Chain Summarization | See node parameters |
| Write email | AI & models | Agent | See node parameters |
| Review email | AI & models | Chain LLM | See node parameters |
| When clicking ‘Test workflow’ | Trigger | Manual Trigger | See node parameters |
| Create collection | Web / API | HTTP Request | POST |
| Refresh collection | Web / API | HTTP Request | POST |
| Get folder | Files / media | Google Drive | fileFolder |
| Download Files | Files / media | Google Drive | download |
| Default Data Loader | Files / media | Document Default Data Loader | See node parameters |
| Token Splitter | Transform | Text Splitter Token Splitter | See node parameters |
| Qdrant Vector Store1 | Data store | Vector Store Qdrant | See node parameters |
| Embeddings OpenAI1 | AI & models | Embeddings Open Ai | See node parameters |
| Do nothing | Routing | No Op | See node parameters |
| OpenAI | AI & models | OpenAI Chat Model | See node parameters |
| DeepSeek | AI & models | OpenAI Chat Model | See node parameters |
| OpenAI 4-o-mini | AI & models | OpenAI Chat Model | See node parameters |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
googleDriveOAuth2ApihttpHeaderAuthimapopenAiApiqdrantApismtp
Workflow notes
STEP 1
STEP 1
Create Qdrant Collection
Change:
- QDRANTURL
- COLLECTION
STEP 2
STEP 2
Documents vectorization with Qdrant and Google Drive
Change:
- QDRANTURL
- COLLECTION
STEP 3 - MAIN FLOW
STEP 3 - MAIN FLOW
- Transform the email into Markdown format for optimal reading by the LLM model
- Email Summarization through DeepSeek R1 (any model can be used)
- 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
- I create a chain where I entrust the review of the email to a high-performance model designed for this purpose
- I send the response email
Email AI Auto-responder. Summerize and send email
Email AI Auto-responder. Summerize and send email
Purpose and structure
This folder contains the Email AI Auto-responder. Summerize and send email workflow. Its executable nodes use agent, chainLlm, chainSummarization, documentDefaultDataLoader, emailReadImap, emailSend, embeddingsOpenAi, googleDrive, httpRequest, lmChatOpenAi, manualTrigger, markdown, noOp, textClassifier, textSplitterTokenSplitter, vectorStoreQdrant. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
When clicking ‘Test workflow’
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Emailreadimap/1277_Emailreadimap_Manual_Send_Webhook.json MIT; preserve source notices.