Generate personalized tour itineraries via email with GPT-4o and Pinecone
ποΈ AI-Based Tour Itineraries via Email Using OpenAI & Pinecone Vector Search
Overview
This workflow automates the process of handling new tour package requests received via email, analyzes the request, and provides personalized tour package recommendations using AI and a vector database. Itβs designed to streamline customer interactions and deliver quick, relevant responses.
Precondition
- Create a Embedded Tour Package Database (refer to the link below): Pinecone Database setup
- Register and create API Keys for OpenAI, Pinecone Database.
- Copy Mail Credentials to access Email Inbox from n8n node
This workflow automates the process of extracting tour information from PDF files stored in a Google Drive folder, processes and vectorizes the extracted data, and stores it in a Pinecone vector database for efficient querying. This is especially useful for building AI-powered search or recommendation systems for travel packages.
π οΈ Tools & Nodes Used
Email Trigger (IMAP): Monitors the inbox for new tour package requests. Text Classifier: Categorizes incoming emails (e.g., New Request, Follow-up, Other). Code Node: Extracts and structures relevant data from the email (subject, sender, content, etc.). Tour Recommendation AI Agent: An AI agent that interprets the request and formulates a prompt for package recommendations. OpenAI & OpenRouter Chat Models: Used for natural language understanding and generating responses. Simple Memory: Maintains context for ongoing conversations. Pinecone Vector Store: Stores and retrieves tour packages using semantic search. Embeddings (OpenAI): Converts text data into vector embeddings for similarity search. Answer Questions with a Vector Store: Retrieves the most relevant packages from Pinecone. Send Email: Sends the AI-generated recommendations back to the customer.
π Process & Flow
Email Reception: The workflow starts with the Email Trigger (IMAP) node, which listens for new emails in the inbox.
Classification: The Text Classifier node determines if the email is a new tour package request.
Data Extraction: The Code node parses the email, extracting key details like sender, subject, and content.
AI Agent Processing: The Tour Recommendation AI Agent receives the structured request and crafts a prompt for package recommendations.
Vector Search: The agent queries the Pinecone Vector Store, which holds previously created tour packages, using OpenAI embeddings for semantic matching.
Recommendation Generation: The AI agent selects the top 3 most relevant packages and generates a friendly, personalized response.
Response Delivery: The Send Email node sends the recommendations back to the customer.
π Recommendations & Improvements for Next Version Error Handling: Add error handling nodes to manage failed email parsing or AI response issues. Logging & Analytics: Integrate logging to track requests, recommendations, and customer responses for continuous improvement. Personalization: Enhance the AI agent to consider customer history or preferences for even more tailored recommendations. Multi-language Support: Add language detection and translation for international customers. Feedback Loop: Include a mechanism for customers to rate recommendations, feeding this data back into the system for improved future suggestions. Attachment Handling: Enable the workflow to process attachments (e.g., customer itineraries or preferences). Scalability: Consider batching or queueing requests if email volume increases.
π‘ Conclusion
This workflow demonstrates how n8n, combined with AI and vector databases, can automate and personalize customer service in the travel industry. With a few enhancements, it can become even more robust and customer-centric!
n8n Workflow: Personalized Tour Itinerary Generation via Email with GPT-4o and Pinecone
This n8n workflow automates the process of generating personalized tour itineraries based on user requests received via email. It leverages advanced AI capabilities from OpenAI (GPT-4o) and a Pinecone vector store to understand user preferences and provide tailored travel plans, then sends the itinerary back to the user via email.
What it does
This workflow streamlines the creation of custom tour itineraries by:
- Triggering on New Emails: It constantly monitors a specified IMAP inbox for new emails.
- Processing Email Content: Extracts the subject and body of the incoming email, which is expected to contain the user's tour request.
- Classifying Request Type: Uses a Text Classifier to determine if the email is a "tour request" or another type of message.
- Generating Itinerary with AI Agent: If classified as a "tour request", an AI Agent (powered by OpenAI's GPT-4o and Pinecone) processes the request to generate a personalized tour itinerary.
- It uses an OpenAI Chat Model for conversational understanding and generation.
- A Simple Memory component helps maintain context during the conversation.
- An OpenAI Embeddings model is used to create vector representations of the text.
- A Pinecone Vector Store acts as a knowledge base, likely containing information about destinations, activities, or past itineraries, which the AI Agent can query using a "Vector Store Question Answer Tool".
- Sending Personalized Itinerary: Once the itinerary is generated, it sends a detailed email back to the original sender with the personalized tour plan.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- IMAP Email Account: Access to an IMAP email account for the "Email Trigger (IMAP)" node to monitor incoming requests.
- SMTP Email Account: Access to an SMTP email account for the "Send Email" node to send out the generated itineraries.
- OpenAI API Key: An API key for OpenAI to use the
OpenAI Chat ModelandEmbeddings OpenAInodes (specifically, it's configured to usegpt-4o). - Pinecone Account: Access to a Pinecone vector database. This workflow uses a
Pinecone Vector Storenode, implying you'll need to have an index set up with relevant tour data. - OpenRouter Account (Optional): The workflow includes an
OpenRouter Chat Modelnode, which suggests it might be used as an alternative or alongside OpenAI for language model interactions. If you intend to use it, an OpenRouter API key will be required.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- IMAP Credential: Set up an IMAP credential for the "Email Trigger (IMAP)" node to connect to your incoming email inbox.
- SMTP Credential: Set up an SMTP credential for the "Send Email" node to connect to your outgoing email server.
- OpenAI Credential: Configure your OpenAI API key for the
OpenAI Chat ModelandEmbeddings OpenAInodes. - Pinecone Credential: Set up your Pinecone API key and environment for the
Pinecone Vector Storenode. Ensure your Pinecone index is populated with the necessary data for tour generation. - OpenRouter Credential (Optional): If you plan to use the OpenRouter node, configure its API key.
- Customize Email Trigger: Adjust the "Email Trigger (IMAP)" node to monitor the specific email address and folder you wish to use for incoming tour requests.
- Review AI Agent Configuration: Examine the
AI Agentnode and its sub-nodes (OpenAI Chat Model,Simple Memory,Embeddings OpenAI,Pinecone Vector Store,Vector Store Question Answer Tool) to ensure they are configured to your specific needs, including model names, temperature settings, and Pinecone index details. - Activate the Workflow: Once all credentials and configurations are set, activate the workflow.
Now, whenever an email is sent to the configured IMAP inbox with a tour request, the workflow will automatically generate and send a personalized itinerary.
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