Landbot is a no-code chatbot builder that enables businesses to create conversational experiences without programming skills.
Enhance your chatbots with Relevance AI's intelligent agents to deliver more sophisticated, context-aware interactions across all channels.


Landbot excels at creating no-code conversational experiences. Relevance AI enhances these interactions with intelligent AI Agents that can understand context, make decisions, and deliver personalized responses at scale.
Intelligent Query Resolution
The agent can understand and resolve complex inquiries with precision.
Dynamic User Engagement
Engage users in real-time with personalized interactions based on their behavior.
Seamless Data Integration
Effortlessly connect with existing systems for streamlined data flow and insights.
Relevance AI gives you access to Landbot's chatbot building capabilities within your automated workflows and AI Agents.
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, ensuring only authorized workflows access your Landbot data. Relevance AI manages API operations seamlessly in the background while maintaining proper request formatting and authentication headers.
Built-in request validation and response handling ensure your chatbot workflows run reliably, even with varying data structures.
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 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.