User Guide

Installation

• Installation

Tutorials

• Tutorial: Rasa Basics
• Tutorial: Building Assistants

Command Line Interface

• Command Line Interface

Architecture

• Architecture

Messaging and Voice Channels

• Messaging and Voice Channels

Testing Your Assistant

• Testing Your Assistant

Validate Data

• Validate Data

Configuring the HTTP API

• Configuring the HTTP API

Deploying Your Rasa Assistant

• Deploying Your Rasa Assistant

Cloud Storage

• 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
• TensorFlow Configuration
• Migration Guide
• Rasa Open Source Change Log

Migrate from (beta)

• Dialogflow
• Wit.ai
• LUIS
• IBM Watson

Reference

• Glossary

Versions

• 1.10.26
• 1.10.25
• 1.10.24

Build contextual chatbots and AI assistants with Rasa

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 1.9.2 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.

👋 I can help you get started with Rasa and answer your technical questions.