Integrations

Supercharge ChatBotKit with Relevance AI

ChatBotKit is an integration platform that allows developers to build and manage AI-powered chatbots across various channels. With Relevance AI, you can elevate these chatbots by incorporating advanced AI capabilities that enhance user interactions and automate responses.

Give your AI Agents ChatBotKit Superpowers

ChatBotKit empowers developers to create dynamic conversational experiences through its robust API. Relevance AI amplifies this by enabling AI Agents to analyze and respond to user interactions intelligently, driving engagement and efficiency.

Conversational Intelligence Mastery

Harness advanced NLP capabilities to understand and respond to complex user interactions with heightened accuracy and context awareness.

Dynamic Knowledge Integration

Instantly access and utilize extensive datasets to provide precise, contextually relevant information during conversations.

Workflow Automation Excellence

Transform complex business processes into streamlined conversational workflows with automated decision pathways.

Tools

Equip AI Agents with the ChatBotKit Tools they need

Relevance AI seamlessly integrates with ChatBotKit to enhance your conversational workflows with intelligent AI Agents.

ChatBotKit - Send Conversation Message
Sends a message to an existing ChatBotKit conversation, allowing for continuation of ongoing chatbot interactions with users across multiple platforms.
ChatBotKit - Create Conversation
Initiates a new conversation instance in ChatBotKit with customizable parameters including message type, bot configuration, privacy settings, and moderation controls.
ChatBotKit - Create Conversation
Initiates a new conversation instance in ChatBotKit with customizable parameters including message type, bot configuration, privacy settings, and moderation controls.
ChatBotKit - Import Dataset
Imports external data files into a ChatBotKit dataset, enabling the integration of custom training data for chatbot knowledge enhancement.
Name
ChatBotKit API Call
Description
Make an authorized request to a ChatBotKit API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A software company uses ChatBotKit API Call to seamlessly integrate their customer service platform with ChatBotKit, allowing them to automate responses to common support queries while maintaining full control over API requests and authentication.
Quick Start

Connect ChatBotKit to Relevance AI in minutes

Security & Reliability

The ChatBotKit integration utilizes secure OAuth authentication, ensuring that only authorized applications can access your conversational data. Relevance AI manages API operations (such as creating conversations, sending messages, and importing datasets) seamlessly in the background—eliminating concerns about errors, formatting, or rate limits.

Built-in validation and JSON parsing capabilities ensure that your interactions with the ChatBotKit API run smoothly, even when dealing with varying data formats.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the ChatBotKit + Relevance AI integration without writing code:
  • Start with a clear conversation structure: Define clear intents and responses to ensure smooth interactions.
  • Utilize pre-built templates: Leverage existing conversation flows and datasets to accelerate your setup.
  • Connect securely: Ensure you use the correct OAuth credentials and permissions during the integration process.
  • Test interactions thoroughly: Validate conversation flows with test messages before deploying to production.
  • Monitor API usage: Keep an eye on rate limits and implement caching strategies to optimize performance.