Block 1 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
AI Email Auto Responder – Smart Client Reply Automation with RAG This workflow is built for individuals, teams, and businesses that receive regular inquiries via email and want to automate response...
@n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.toolvectorstore, @n8n/n8n-nodes-langchain.vectorstorepinecone, @n8n/n8n-nodes-langchain.embeddingsopenai, @n8n/n8n-nodes-langchain.toolworkflow, n8n-nodes-base.gmailtrigger, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.memorybufferwindow
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by LukaszB.
Original n8n.io sourceThis workflow is built for individuals, teams, and businesses that receive regular inquiries via email and want to automate responses in a way that’s intelligent, brand-aligned, and always up to date. Its core purpose is to generate high-quality, professional email replies using internal company data, brand voice, and semantic search — fully automated through Gmail, Pinecone, and OpenAI.
The system is divided into three steps. First, it allows you to index your internal knowledge base (Docs, Sheets, PDFs) with embeddings. Second, it injects a consistent brand brief into every interaction to ensure tone and positioning. Finally, the main flow listens for incoming emails, understands the user query, retrieves all needed data, and writes a full HTML reply — sending it directly to the original thread via Gmail.
This solution is ideal for support teams, solopreneurs, B2B service providers, or anyone looking to scale high-quality client communication without scaling manual work. It can be extended to handle multilingual queries, intent routing, or CRM logging.
When a new email arrives in Gmail, the workflow checks whether it's a valid client inquiry. If so, it:
This process ensures every reply is relevant, accurate, and consistent with your brand — and takes under 10 seconds.
Getting started takes about 30–60 minutes.
Detailed setup instructions are stored in sticky notes within each workflow to guide you through configuration.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 34 workflow blocks. Download the JSON for the full node graph.
| Workflow | Ai email auto-responder system- AI RAG agent for email inbox |
|---|---|
| Complexity | advanced |
| Nodes | 34 |
| Categories | Ticket Management, AI RAG |
| Author | LukaszB |
| Published | 06 Jun 2025 |
Use the JSON export at /data/workflows/4748/4748.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
AI Email Auto Responder – Smart Client Reply Automation with RAG This workflow is built for individuals, teams, and businesses that receive regular inquiries via email and want to automate response...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI RAG use case.