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Build contextual AI assistants and chatbots in text and voice with our open source machine learning framework. Scale it with our enterprise grade platform.
Sep 16, 2024 · Install Rasa Open Source on premises to enable local and customizable Natural Language Understanding and Dialogue Management. Menu Rasa Pro Rasa Studio Rasa Open Source Rasa X/Enterprise
Sep 16, 2024 · Rasa Open Source is an open source conversational AI platform that allows you to understand and hold conversations, and connect to messaging channels and third party systems through a set of APIs. It supplies the building blocks for creating virtual (digital) assistants or chatbots.
Rasa Pro. State-of-the-art open-core Conversational AI framework for Enterprises that natively leverages generative AI for effortless assistant development. Rasa Pro enables deeply nuanced conversations with end customers by following business logic safely and predictably in the deployment environment of your choice.
Get started with Rasa Open Source conversational AI and Rasa X. Find documentation, videos, tutorials and resources to build chatbots and voice assistants.
Installing Rasa. Step by step guides on how to install Rasa Open Source on Windows, MacOS and Ubuntu.
Dec 17, 2019 · This blog focuses on how to work with Rasa Open Source and Rasa X together, including best practices that we at Rasa use to create our own contextual assistants, like Carbon Bot. Rasa Open Source & a "minimum viable assistant"
Open source framework or enterprise grade platform to run conversational AI at scale. Find what's right for building your contextual assistants.
Introduction to Rasa Open Source. Rasa is an open source machine learning framework for automated text and voice-based conversations. Understand messages, hold conversations, and connect to messaging channels and APIs.
Sep 16, 2024 · Currently, rasa supports the following Python versions: 3.7, 3.8, 3.9 and 3.10. Note that Python 3.10 is only supported for versions 3.4.x and upwards. Additionally, rasa installation on Apple Silicon with Python 3.10 is not functional in 3.4.x but will be supported starting from 3.5.x .
