There are many chatbot platforms with NLP, such as:
Rasa: Open source conversational AI
Amazon Lex — Build Conversation Bots
We evaluated most noteworthy of bot platforms for building chatbots for customer support and service industry. Finally, Dialogflow and Rasa came on top in our priority list.
This article covers the differences between Dialogflow and Rasa, and helps you understand which one to choose.
Dialogflow is a Google-owned product. They have developed human-computer interaction technologies based on natural language conversations.
Dialogflow is a complete closed source product with API and web interface. Dialogflow was previously known as api.ai and got acquired by Google in 2016.
Rasa is an open source machine learning tool for developers and product teams to expand bots beyond answering simple questions.
Rasa comes with Rasa NLU and Rasa Core. The NLU handles intents and entities while the Core handles dialogues and fulfillment.
Dialogflow vs Rasa — Major Difference
First of all, we found Dialogflow to be super easy to use. Almost everything is available in the user interface and you can create a bot without writing even a single line of code. Dialogflow provides everything from Entities, Intent, Training, Analytics, History to Integrations. They are available in the user interface. It is like a full-fledged ready to use service.
In contrast, you will have to build things up on top of Rasa. Also, it requires python development for customizing the bot.