Rasa as open source alternative to IBM Watson - Migration Tips
These docs are for version 1.x of Rasa Open Source.
User Guide
- Installation
- Tutorial: Rasa Basics
- Tutorial: Building Assistants
- Command Line Interface
- Architecture
- Messaging and Voice Channels
- Testing Your Assistant
- Setting up CI/CD
- Validate Data
- Configuring the HTTP API
- Deploying Your Rasa Assistant
- Cloud Storage
NLU
- About
- Using NLU Only
- Training Data Format
- Language Support
- Choosing a Pipeline
- Components
- Entity Extraction
Core
- About
- Stories
- Domains
- Responses
- Actions
- Reminders and External Events
- Policies
- Slots
- Forms
- Retrieval Actions
- Interactive Learning
- Fallback Actions
- Knowledge Base Actions
Conversation Design
API Reference
- Action Server
- HTTP API
- Jupyter Notebooks
- Agent
- Custom NLU Components
- Rasa SDK
- Events
- Tracker
- Tracker Stores
- Event Brokers
- Lock Stores
- Training Data Importers
- Featurization of Conversations
- TensorFlow Configuration
- Migration Guide
- Rasa Open Source Change Log
Migrate from (beta)
Reference
Rasa as open source alternative to IBM Watson - Migration Tips
There is no support for IBM Watson yet. However, a group of community members is working on a way to use exported IBM Watson workspaces in Rasa. If you're interested in that, check out our Community Forum.
At Rasa, we hear a few different reasons why developers switch from cloud-based tools like IBM Watson:
- Faster: Runs locally - no https requests and server round trips required
- Customizable: Tune models and get higher accuracy with your data set
- Open source: No risk of vendor lock-in - Rasa comes with an Apache 2.0 license and you can use it in commercial projects
In addition, our open source tools allow developers to build contextual AI assistants and manage dialogues with machine learning instead of rules - learn more in this blog post.