This paper presents a conversational AI platform called Flowstorm. Flowstorm is an open-source SaaS project suitable for creating, running, and analyzing conversational applications. Thanks to the fast and fully automated build process, the dialogues created within the platform can be executed in seconds. Furthermore, we propose a novel dialogue architecture that uses a combination of tree structures with generative models. The tree structures are also used for training NLU models suitable for specific dialogue scenarios. However, the generative models are globally used across applications and extend the functionality of the dialogue trees. Moreover, the platform functionality benefits from out-of-the-box components, such as the one responsible for extracting data from utterances or working with crawled data. Additionally, it can be extended using a custom code directly in the platform. One of the essential features of the platform is the possibility to reuse the created assets across applications. There is a library of prepared assets where each developer can contribute. All of the features are available through a user-friendly visual editor.
@article{arxiv.2212.09377,
title = {Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture},
author = {Jan Pichl and Petr Marek and Jakub Konrád and Petr Lorenc and Ondřej Kobza and Tomáš Zajíček and Jan Šedivý},
journal= {arXiv preprint arXiv:2212.09377},
year = {2022}
}