![]() Natural Language Processing engine to train the bot.Platform or service to connect the chatbot to the channel of choice (Slack, Microsoft Teams, or Custom Web App). ![]() Platform or SDK to host the chatbot code.In an ideal world, a chatbot platform would need the following as a minimum for a text based chatbot. Even with these platforms, there is a large investment in time to not only build the initial prototype, but also maintenance the bot once it goes live. They can spin up a chatbot in a matter of hours. The largest cloud providers on the market each offer their own chatbot platforms, making it easy for developers to create prototypes without having to worry about investing in large infrastructures. With chatbots being a nascent, emerging technology, there are a variety of ways you’ll see chatbots being built. If you look across the realm of the chatbot platforms that are available, there are a lot of ways you can piece meal your chatbot. If you choose the wrong architecture, you may be opening yourself to a bunch of technical debt that will make future development and maintenance more difficult. In this post, you’ll learn how to choose the best chatbot architecture to ensure that your chatbot or conversational agent is built on a solid framework. There are a few considerations that chatbot developers will need to consider when choosing technologies that will support a chatbot. Learn the essential technical components of building a chatbot and what is involved in order to choose the right platform.Ĭhoosing the right platform when architecting a chatbot is important.
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