ChatFly is a powerful AI chatbot platform that enables businesses to create, deploy, and manage intelligent conversational agents at scale. By integrating with Relevance AI, you can elevate your chatbot interactions with enhanced AI-driven insights and automation.
ChatFly empowers businesses to create and manage sophisticated chatbots for engaging interactions. With Relevance AI, these bots can leverage advanced data insights and decision-making capabilities, making conversations more dynamic and personalized.
Contextual Intelligence Mastery
Seamlessly maintains conversation context across multiple user interactions for more meaningful and personalized responses
Enterprise-Grade Security
Operates with SOC 2 Type II compliance and end-to-end encryption for secure handling of sensitive information
Intelligent Workflow Automation
Creates and executes sophisticated conversation flows without requiring technical expertise or coding knowledge
Relevance AI seamlessly integrates with ChatFly to enhance your conversational workflows with intelligent 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
ChatFly is a robust AI chatbot platform that empowers businesses to create, deploy, and manage intelligent conversational agents effortlessly. This integration allows you to incorporate ChatFly's capabilities into your applications seamlessly, enabling automated messaging and bot interactions through a straightforward API interface.
With features like streamlined bot management, real-time message processing, session-based conversations, and OAuth-based secure authentication, you can enhance your customer interactions significantly.
To get started, ensure you have a ChatFly account with API access, OAuth credentials with the necessary permissions, and a valid Bot ID from your ChatFly dashboard. Your environment should support HTTPS and REST API calls, along with JSON parsing capabilities.
Authentication is set up using your OAuth account ID and permission type, while the base configuration includes the ChatFly backend URL and necessary headers. Sending messages to a bot is straightforward, with a simple API call structure that includes your OAuth account ID, bot ID, session ID, and the message content.
Common use cases include starting new chat sessions and continuing existing ones, with unique session IDs for each conversation. Troubleshooting common issues like authentication errors, invalid bot IDs, and session management problems is essential for smooth operation. Implementing best practices such as error handling, session management, and performance optimization will further enhance your integration experience.
For more information, refer to the ChatFly API Documentation, OAuth Configuration Guide, and Bot Management Dashboard. For additional support or questions, reach out to ChatFly support or consult the API documentation for detailed endpoint specifications.
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.
