Chat Data is an integration platform that allows developers to create, manage, and customize AI-powered chatbots through a robust API. With Relevance AI, you can elevate your chatbot's performance by leveraging AI Agents for smarter, more responsive interactions.
Chat Data empowers developers to create versatile AI chatbots with advanced features like custom data training and URL scraping. Relevance AI amplifies these capabilities, enabling AI Agents to deliver personalized interactions and insights at scale.
Unified Data Orchestration
Seamlessly consolidate and process conversation data from multiple channels for comprehensive insights
Real-time Sentiment Intelligence
Instantly analyze and respond to customer emotions and intent across all interactions
Predictive Pattern Recognition
Identify emerging trends and customer behaviors before they become apparent to human operators
Relevance AI seamlessly integrates with Chat Data to enhance your chatbot workflows with intelligent capabilities.
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 Chat Data integration platform utilizes secure OAuth authentication, ensuring that only authorized workflows can access your chatbot functionalities. The integration handles API operations (such as POST for creating chatbots, GET for checking status, and DELETE for removing chatbots) seamlessly, allowing developers to focus on building and customizing their AI-powered chatbots without worrying about errors, formatting, or limits.
With built-in validation and error handling, the integration ensures that your chatbot deployment runs smoothly, even when dealing with various data formats and potential issues like authentication errors or invalid model selections.
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 Chat Data + Relevance AI integration without writing code:
- Start with a clear chatbot design: Define the purpose and scope of your chatbot to ensure effective training and data usage.
- Utilize pre-built models: Leverage the available models (custom, medical, veterinary) to quickly deploy chatbots tailored to specific needs.
- Scrape wisely: Ensure URLs you provide for scraping are publicly accessible and contain relevant text-based content.
- Test thoroughly: Validate chatbot performance with test data before deploying to production to minimize errors.
- Monitor API usage: Keep an eye on rate limits and implement caching strategies to optimize performance and avoid throttling.
