Rasa is an open-source conversational AI platform for building contextual chatbots and intelligent agents.
Supercharge your conversational AI with Relevance AI's no-code agent builder to create powerful AI Agents that can understand, respond, and take action.
Rasa provides powerful natural language understanding and dialogue management. Relevance AI enhances this with no-code AI Agents that can handle complex conversations and automate sophisticated workflows at scale.
Contextual Understanding
The agent can comprehend user intent and context for more relevant interactions.
Dynamic Dialogue Orchestration
It can manage complex conversation flows, adapting to user responses in real-time.
Intelligent Personalization
It leverages user data to provide tailored responses and recommendations.
Relevance AI gives you access to Rasa's conversational AI capabilities through intelligent AI Agents within your automated 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 Rasa chatbot project
- A Relevance AI account with API access
- Authentication credentials (you'll connect using API keys—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication to connect with your Rasa chatbot API, handling all HTTP methods seamlessly in the background. Relevance AI manages request formatting, authorization headers, and API paths automatically—eliminating common integration hurdles.
Built-in request validation and response handling ensure reliable communication between your workflows and Rasa's conversational AI platform.
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.
