Build contextual chatbots and AI assistants with Rasa
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
Dialogue Elements
Small Talk
Completing Tasks
Guiding Users
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
Featurization of Conversations
TensorFlow Configuration
Migration Guide
Rasa Open Source Change Log
Migrate from (beta)
Dialogflow
Wit.ai
LUIS
IBM Watson
Reference
Glossary
Versions
viewing: 1.10.26
Note
These docs are for Rasa 1.0 and later. Docs for older versions are at http://legacy-docs.rasa.com.
This is the documentation for version 1.10.26 of Rasa. Please make sure you are reading the documentation that matches the version you have installed.
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.