Hubot is recommended for development teams, IT departments, and organizations that rely heavily on chat-based communication and wish to improve operational efficiency by automating repetitive tasks and integrating various tools into their chat workflows.
Rasa NLU is recommended for businesses and developers who need custom AI solutions with specific domain or language requirements, have technical expertise, and prefer open-source tools. It is also ideal for organizations that prioritize data privacy and wish to host their conversational AI systems on-premises.
Based on our record, rasa NLU seems to be a lot more popular than Hubot. While we know about 24 links to rasa NLU, we've tracked only 1 mention of Hubot. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hubot is kind of old (at least in software terms!), but I’m amazed at how few people know about the ChatOps model. From 10000 thousand feet perspective, it’s just automation through your go-to chat software (discord, slack, rocketchat, mattermost, etc.), and Hubot paved the way to other similar tools. Maybe it’s less relevant today, but I find an interesting concept nonetheless (I love automation in any form it... - Source: dev.to / about 3 years ago
Beyond basic NLP, conversational AI models involve transforming these tokens into something more meaningful. For connectivity, Dialogflow by Google or Rasa are notable for building contextually aware chatbots. - Source: dev.to / 4 months ago
Rasa: Build custom conversational AI solutions with this open-source framework. - Source: dev.to / 4 months ago
Beyond raw language models, NLP engines like Rasa and Dialogflow offer frameworks for designing, building, and improving conversational flows. They help in intent recognition, entity extraction, and dialogue management, which are crucial for a coherent conversation structure. - Source: dev.to / about 1 year ago
There are frameworks out there for doing that kind of thing, see https://rasa.com/ for example. It's not using any LLMs at the moment, just BERT and DIET mostly but it's highly customizable and you could likely bring in an LLM for doing some interesting things to handle more complex messages from users. - Source: Hacker News / about 2 years ago
Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 2 years ago
Botpress - Open-source platform for developers to build high-quality digital assistants
Dialogflow - Conversational UX Platform. (ex API.ai)
Microsoft Bot Framework - Framework to build and connect intelligent bots.
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
Driver Genius - Driver Genius is a professional driver management tool that features both driver management and hardware diagnostics. Driver Genius can backup, restore and update all your drivers in several mouse clicks.
Wit.ai - Easily create text or voice based bots that humans can chat with on their preferred messaging...