Could Someone Give me Advice on Integrating Custom AI Models into Ideta’s Platform?

Hello there,

I am working on a project that requires me to integrate a custom AI model I have developed. This model has been trained on some niche industry-specific data that is critical for the chatbot’s accuracy. I noticed that Ideta supports sever;al pre-built AI integrations like Dialogflow and Rasa; but I was wond;ering if there’s a way to integrate a model I have built outside of these platforms.

Is there a straightforward process for integrating a custom model into Ideta? If so; what are the required steps or API endpoints I should look into? :thinking:

Can the platform handle a model that is hosted locally or on a private cloud? Or does it need to be deployed on a specific service? :thinking:

Are there any performance considerations or limitations when integrating custom AI models; especially in terms of response times or scaling? :thinking:

Also, I have gone through this post; https://www.ideta.io/blog-posts-english/how-to-build-a-high-performance-chatbot-with-dialogflow-minitab which definitely helped me out a lot.

I have gone through the documentation but have not found a detailed guide for this.

Thanks in advance for the help and assistance. :innocent:

Hi !

To do that I think the simplest way to do this would be to make your model available via API and then use the API bubble to fetch the response from it.

In what niche did you train your model ?