Rasa Core
Rasa Core is an open source machine learning framework for building conversational AI assistants and chatbots. It provides tools for intent classification, entity extraction, dialogue management, and conversational actions.
open-source
machine-learning
chatbots
nlp
Rasa Core: Open Source Conversational AI Framework
Rasa Core is an open source machine learning framework for building conversational AI assistants and chatbots. It provides tools for intent classification, entity extraction, dialogue management, and conversational actions.
What is Rasa Core?
Rasa Core is an open-source machine learning framework for developing contextual AI assistants and chatbots. It provides the dialogue management and conversational capabilities to have natural, flexible conversations.
Some key features of Rasa Core include:
- Contextual conversations - Rasa Core tracks context during conversations to respond appropriately and have logical flows.
- Custom actions - Developers can build custom action code to extend functionality like integrating with databases, APIs, etc.
- Slot filling - Useful for collecting data during conversations by filling slots/variables.
- Built-in integrations - Comes with integrations for common channels like Facebook Messenger, Slack, etc.
- Open source - Released under Apache 2.0 license for free usage and contributions from the community.
Rasa Core handles the conversational logic while Rasa NLU (Natural Language Understanding) handles intent classification and entity extraction. Together they provide a full open source conversational AI assistant.
It provides reusable components to speed up development of chatbots and assistants by handling the complex AI while developers can focus more on the business logic and domain-specific parts.
Rasa Core Features
Features
- Conversational AI framework
- Built on top of Rasa NLU for NLP
- Rule-based and ML dialogue management
- Custom actions with Python code
- Open source under Apache 2.0 license
Pricing
- Open Source
Pros
Active open source community
Modular architecture
Supports multiple channels like web, Slack, Facebook Messenger
Built-in visualization and debugging tools
Cons
Steep learning curve
Limited built-in small talk capabilities
Need to build custom actions for complex use cases
Official Links
The Best Rasa Core Alternatives
Top Ai Tools & Services and Conversational Ai and other similar apps like Rasa Core
Here are some alternatives to Rasa Core:
Suggest an alternative ❐
DeepPavlov
DeepPavlov is an open-source library focused on deep learning end-to-end dialog systems and knowledge-grounded conversational AI agents. It allows researchers and developers to quickly prototype conversational AI assistants.Some key capabilities and features of DeepPavlov include:Pre-trained models for tasks like intent recognition, slot filling, sentiment analysis, question answering, document ranking etc.Tools...
ParlAI
ParlAI (pronounced "par-lay") is an open-source software platform created by Facebook AI Research for developing conversational artificial intelligence agents. Its key features include:Unified framework for interacting with many popular dialogue datasets like SQuAD, bAbI tasks, MOOC, Twitter, etc.Support for training and evaluating chit-chat models, question answering, task completion and moreTools...
ConvLab
ConvLab is an open-source toolkit for building conversational AI agents. It provides a set of reusable components that can be easily customized and assembled to create multi-modal, multi-agent conversational systems for various conversation scenarios such as chit-chat, recommendation, negotiation and task-completion.Some key features of ConvLab include:Modular architecture - Components such...
Frontman
Frontman is an open-source workflow automation and integration platform that allows you to visually build workflows to connect apps, data, and devices. With an easy-to-use graphical interface, you can integrate APIs, databases, cloud services, ERP/CRM systems, and more to create automated workflows without coding.Key features of Frontman include:Visual workflow builder...
Plato Research Dialogue System
Plato Research Dialogue System is an open-source conversational AI platform developed by Amazon Alexa team. It is designed to advance state-of-the-art AI methods for building chatbots and dialogue systems using machine learning techniques.Plato provides tools and capabilities to train dialogue agents through text conversations. The goal of Plato is to...
Virtual Human Toolkit
The Virtual Human Toolkit (VHTK) is an open-source platform developed by the University of Southern California Institute for Creative Technologies for building and deploying embodied conversational agents, also known as virtual humans. VHTK provides a comprehensive set of tools for creating 3D virtual character models, animating them using procedural animation...
PyDial
PyDial is an open-source toolkit for building spoken dialogue systems. It is implemented in Python and provides a set of reusable modules that facilitate the rapid development of task-oriented dialogue agents.Some of the key capabilities and features of PyDial include:Automatic speech recognition (ASR) - PyDial integrates several ASR engines like...
