Blog Posts

Chatbot conversations can be easily depicted as a graph. Graph databases work fundamentally differently than classic relational approaches. Not only the storage of the data is different. Also the way you can read the data is special.

Wouldn't it be great if users could easily correct answers to questions in the chat history within a guided chatbot conversation? Good news! This is now possible!

It has never been easier to add a chatbot to your website. Just build your bot, host the flow file wherever you want and add the free web component to your website.

A logic graph brings new powers to the guided parts of chatbot conversations. A logic graph is a relatively new technology. That is why it is not always easy to imagine its special properties. This simple example shows how a simple structure can create a dynamic context.

There are many different approaches for mapping conversations in databases. In this chapter I would like to explain you which approaches are suitable and why.

Some botbuilders portray conversations as causal decision trees or behavior trees. In this chapter I would like to explain the reason why a guided conversation should not be a tree, and why network structures are better suited.

Maybe I am fundamentally wrong. But I believe that the chatbot topic in general is unfavorable in some areas. In my opinion many botbuilders are too complex and too cumbersome to maintain. From experience I know that sometimes real problems are difficult to transfer to the digital world. This often requires rethinking and discarding of old structures. Frequently differences between a digital representation and a real problem lead to cumbersome frontends and complicated processes.