rasa NLU Reviews and Details

Is rasa NLU good?

Social recommendations and mentions

• 7 Best Alternatives to Botpress in 2025

  Rasa is a strong fit for engineering-focused companies that need complete control over how their chatbot works. It offers deep customization, full access to model pipelines, and enterprise-level security, making it a preferred alternative for teams that want to build AI from the ground up. Rasa is an open-source AI framework that gives developers full control over models, data, and deployment. It is known for its... - Source: dev.to / 8 months ago

• Eliza Reanimated Published in IEEE Annals of the History of Computing

  Right before LLMs broke into the scene we had a few techniques I was aware of: * Personality Forge uses a rules-based scripting approach [0]. This is basically ELIZA extended to take advantage of modern processing power. * Rasa [1] used traditional NLP/NLU techniques and small-model ML to match intents and parse user requests. This is the same kind of tooling that Google/Alexa historically used, just without the... - Source: Hacker News / about 1 year ago

• Mastering the Art of Conversational AI: Insights and Implementations with Python

  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 / over 1 year ago

• Conversational AI and the Evolution of Search: Redefining How We Find Information

  Rasa: Build custom conversational AI solutions with this open-source framework. - Source: dev.to / over 1 year ago

• A Dive into Conversational AI

  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 / over 2 years ago

• Compromising LLM-Integrated Applications with Indirect Prompt Injection

  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 3 years ago

• ChatGPT Goldmine: Top 5 Money-Making Opportunities You Can't Miss!

  Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / over 3 years ago

• How to create an AI model that learns from textbooks and can be asked about the information in them

  Rasa is a popular tool used right now to build these applications. If you're looking for a serious turn-key solution I would check out Vectara. Source: over 3 years ago

• Top 8 AI and Machine Learning Trends to Watch in 2023

  Another example is RASA, one of the most popular platforms for creating conversational AI assistants. On the accepted AI quality scale, RASA reaches levels 3 and 4. It means that the "robot" not only understands humans with high accuracy in a given contextual field but also learns to recognize contradictions and ulterior motives. - Source: dev.to / over 3 years ago

• Creating a multilingual info chatbot for Ukrainian refugees that is maintainable by non-techies?

  I've also looked into IBM Watson (has flow builder; really expensive for standard version, no multilingual support), Amazon Lex (editor seems better than Dialogflow CX, but again no multilingual support), MS Luis/QNA Builder (no multilingual support, no flowbuilder), and Rasa (no WYSIWYG editor nor multilingual support). Source: almost 4 years ago

• Create Your Own AI Chatbot in minutes with Rasa

  Rasa is attempting to change that. Rasa is an open-source tool to quickly create and train an AI chatbot for whatever purpose you need. You simply enter in near plain-english how you want your chatbot to operate, give it some example inputs, and then reap the benefits. - Source: dev.to / about 4 years ago

• How does the data input work in a chat bot?

  You have different options for chat bots. This is just a very brief overview. You can also check out rasa for a more practical view. They combine the paradigms below. Source: about 4 years ago

• any good suggestions of pretrained chatbot models? that can be used for recommendations of products and such.

  Rasa is an open source library to build chatbots. It is fairly easy to use and comes with pre-built modules. There are many tutorials/videos available to use Rasa as well. Source: about 4 years ago

• Developing a Rasa chatbot in Okteto

  Rasa is a Python framework for training and building an AI-powered chatbot integrated into various platforms. - Source: dev.to / over 4 years ago

• Good starting point for Conversational AI

  Https://rasa.com/ - This is the great place to start. Source: over 4 years ago

• Chatbot projects

  Have you looked at RASA? https://rasa.com/. Source: over 4 years ago

• Anyone actually replace Alexa or Google Assistant with a self hosted version and like it .

  You can check out https://rasa.com/ to build and host your own assistant. Maybe if you focus on just specific features you want out if it and not general purpose assistant, it could work out. Source: over 4 years ago

• Is there any white paper or research paper explaining the architecture of any NLP engine like Dialogflow or LUIS?

  Dialogflow, as the name suggests is specifically for dialogue agents. It is not a general NLP engine, which as a term has no standard definition. LUIS is a little more general and can be adapted into other applications besides chatbots but neither are open source, it's all private black boxes. If you do want system you can use to build a decent task-oriented dialogue agent (i.e. a normal chatbot) then look at... Source: almost 5 years ago

• Journey Through DevOps - Part 3: Higher

  We manage the deployment of 2 applications - Chatwoot and Rasa-X. We aim to deliver content through the Natural Language Processing framework of Rasa and use Chatwoot to track and intervene in the chat, if necessary. - Source: dev.to / about 5 years ago

• Building a chatbot - How should I approach this?

  Like u/Hungry_Check_9153 says, about your image of chabots working, I recommend looking at rasa which is an open source python chatbot. To give yourself an idea of the sheer scope of such a project, take a look at their github. Building a chatbot using Rasa, may be a good first step and offers plenty of experience writing and learning python code. Source: almost 5 years ago

• Chatbots for hospitality

  I developed an automated assistant using Rasa to handle common guest questions for OTA messaging channels (eg Airbnb inbox). While not as sophisticated as mapping a customer story as your example, it handles questions with single intents quite effectively. Happy to answer any questions. Source: almost 5 years ago