Suchergebnisse
Suchergebnisse:
Rasa is an open source machine learning framework to automate text and voice-based conversations. Learn how to install, use, contribute and develop Rasa with Python and Poetry.
18. Apr. 2024 · Learn how to install Rasa Open Source, a framework for building conversational AI applications with Python, on Ubuntu, macOS, Windows, or from source. Find out how to install additional dependencies for different machine learning algorithms and spaCy models.
Rasa is an open source machine learning framework to automate text and voice-based conversations. With Rasa, you can build contextual assistants on: Facebook Messenger; Slack; Google Hangouts; Webex Teams; Microsoft Bot Framework; Rocket.Chat; Mattermost; Telegram; Twilio; Your own custom conversational channels; or voice assistants as: Alexa ...
Rasa is a Python-based platform for building text- and voice-based applications with machine learning. It offers a composable set of primitives, full control over models, and global inclusivity.
Vor 5 Tagen · To code along with this tutorial, first create an empty folder for your project, open it in your terminal, and run: rasa init --template tutorial. By default, this tutorial uses the OpenAI API. If you'd like to use a different LLM, follow the instructions here . To set your OpenAI API key, run the following command:
Welcome! Here you can access the complete documentation for the Rasa Platform. View the docs. See the documentation for each product. Rasa Pro. The enterprise grade generative conversational AI framework. Rasa Studio. No-code user interface to build and optimize your assistant at scale. Rasa Open Source.
Installation. notice. This is documentation for Rasa Documentation v2.x, which is no longer actively maintained. For up-to-date documentation, see the latest version ( 3.x ). Version: 2.x. Installation. Quick Installation. Isolate your python project using a virtual environment. Ubuntu. macOS. Windows.
