GPT Trainer enables developers to create, manage, and interact with personalized AI chatbots using their own data through a REST API interface. By integrating with Relevance AI, you can elevate your chatbot's performance and responsiveness, making interactions more meaningful and effective.



GPT Trainer allows for the creation of personalized AI chatbots that can engage in dynamic conversations. With Relevance AI, these chatbots can leverage advanced data insights and intelligent decision-making capabilities.
Adaptive Learning Mastery
Continuously evolves and refines responses through automated model fine-tuning and performance optimization
Knowledge Orchestration
Seamlessly integrates and leverages company-specific data to deliver precisely tailored interactions
Multi-Model Versatility
Switches between specialized models to optimize responses for different use cases and requirements
Relevance AI seamlessly integrates with GPT Trainer to enhance your AI chatbot workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The GPT Trainer integration uses secure OAuth authentication with read/write permissions, ensuring only authorized workflows can access and manage AI chatbot instances. GPT Trainer handles complex API operations (like chatbot creation, session management, and message handling) in the background—so you don't have to worry about model selection, temperature controls, or rate limits.
Built-in validation and response formatting ensure your AI conversations run smoothly, with automatic handling of citations, visibility controls, and session management.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

To get the most out of the GPT Trainer + Relevance AI integration without writing code:
- Start with a clear chatbot design: Define your chatbot's purpose and ensure prompt clarity for effective interactions.
- Utilize session management: Keep track of session UUIDs and implement a refresh mechanism to maintain active conversations.
- Test your chatbot thoroughly: Use various queries to evaluate responses and adjust parameters like temperature for optimal performance.
- Monitor API usage: Be aware of rate limits and implement retry logic to handle potential throttling gracefully.
- Secure your credentials: Store OAuth tokens and API keys securely, following best practices to protect sensitive information.