AI-powered email replies with spam filtering & FAQ lookup using GPT-4o mini & Pinecone
This n8n workflow automates the handling of incoming emails. It detects and filters out spam, searches a knowledge base (FAQ) stored in a Pinecone vector database, and sends a reply using Gmail — all powered by an AI model (GPT-4o mini).
How It Works
1. Receiving Emails
- The Gmail Trigger node checks a Gmail inbox every hour.
- When a new email arrives, it starts the workflow.
2. Fetching Full Email Content
- The get_message node retrieves all the details of the message: sender, subject, text, message ID, etc.
3. Spam Filtering
- The Spam checker node uses GPT-4o mini to classify the email as either "spam" or "no spam".
- It detects not only classic spam but also automated messages (e.g. from Google or Microsoft).
- If marked as "spam", the workflow ends and nothing is processed.
4. Conditional Filter
- The If node checks the spam result.
- Only "no spam" emails proceed to the AI Agent.
5. AI-Based Reply
- The AI Agent node generates a response based on:
- The email content
- A system prompt defining the assistant’s behavior (polite, professional, under the name “Total AI Solutions”)
- Information retrieved from the Pinecone Vector Store, which contains FAQs
- The AI is instructed to always check the vector store before replying.
- The AI prepares both the subject and the body of the reply.
6. Sending the Reply
- The Gmail node sends the reply to the original sender.
- It uses the original email's ID to keep the thread intact.
7. Language Model
- The OpenAI Chat Model node provides GPT-4o mini as the language engine for generating responses.
8. Memory Support
- The Simple Memory node maintains short-term context, helpful in multi-turn conversations.
9. Knowledge Base (FAQ)
- The Pinecone Vector Store node connects to a Pinecone index (faqmattabott) containing vectorized FAQ content.
- Vectors are created using the Embeddings OpenAI node.
