Voiceflow enables perfect planning of the communication flow between chatbot and user. It can be used as a no-code tool, but functions can also be created using Javascript, the web plugin can be customized using html, css and javascript, etc. Countless links with other tools are possible via API. The use of Open AI and Anthropic GPTs is directly integrated into the tool, as is a knowledge base that can be queried via RAG. These functions can also be customized as required (e.g. linking with open source LLMs via API etc...). What I find particularly exciting about the future developments are the functions that are currently being developed for LLM-based real-time voice chatbots. A simple Voiceflow chatbot can be set up in a few minutes and quickly integrated into a website with a plugin. This is also very motivating for complete beginners, the sense of achievement is immediate and the usefulness is quickly recognized. I therefore now use Voiceflow regularly: to build my own chatbots or chatbots for my university and also to introduce university staff and students to the topic of chatbots in practice (training, prototyping...) . Review collected by and hosted on G2.com.
Voiceflow has developed so quickly in recent years that the documentation sometimes can't quite keep up with the multitude of possibilities. However, there is a support chatbot and a helpful community on Discord. In the “old” Voiceflow, the classic building blocks such as intents and entities sometimes only worked to a limited extent (as with most NLP tools, intent recognition was sometimes faulty), but here too, the integration of LLMs has resulted in a huge leap forward! LLM-based intent recognition is now available, which has also greatly improved the use of classic chatbot functions. Review collected by and hosted on G2.com.
