Typebot is an innovative platform for building conversational agents and chatbots without coding.
Amplify your conversational capabilities with Relevance AI's intelligent agents to create more sophisticated automated interactions.
Typebot excels at creating no-code conversational experiences. Relevance AI enhances these interactions with intelligent AI Agents that can understand context, make decisions, and automate complex workflows.
Intelligent Query Understanding
The agent can comprehend and categorize complex user inquiries with advanced NLP capabilities.
Enhanced Personalization
Delivers tailored interactions by leveraging user data for a more engaging experience.
Real-Time Data Insights
Provides immediate analytics on user interactions, enabling data-driven decision-making.
Relevance AI gives you access to Typebot's conversational capabilities within your AI Agent 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 integration leverages secure OAuth authentication to ensure only authorized workflows can access your Typebot data. Relevance AI manages API operations seamlessly in the background, handling request methods and response formatting automatically.
Built-in request validation and response handling ensure reliable communication between your workflows and Typebot's API endpoints.
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 Typebot + Relevance AI integration without writing code:
- Configure authentication properly: Ensure OAuth credentials are correctly set up in both platforms.
- Structure your chatbot flow: Design clear conversation paths with well-defined variables and endpoints.
- Use webhook blocks wisely: Place API calls strategically within your Typebot flow for optimal response times.
- Implement error handling: Add fallback responses and validation checks to manage failed API requests.
- Monitor response times: Keep API calls efficient by minimizing unnecessary requests and payload sizes.
