These docs are for version 1.x of Rasa Open Source.
[Docs for the new version 2.0 can be found here.](/content/docs/rasa/index.html)

# User Guide

- [Installation](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/installation/)
- [Rasa Tutorial](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/rasa-tutorial/)
- [Command Line Interface](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/command-line-interface/)
- [Architecture](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/architecture/)
- [Messaging and Voice Channels](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/messaging-and-voice-channels/)
- [Evaluating Models](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/evaluating-models/)
- [Validate Data](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/validate-files/)
- [Running the Server](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/running-the-server/)
- [Running Rasa with Docker](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/running-rasa-with-docker/)
- [Cloud Storage](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/cloud-storage/)

# NLU

- [About](https://legacy-docs-v1.rasa.com/1.6.2/nlu/about/)
- [Using NLU Only](https://legacy-docs-v1.rasa.com/1.6.2/nlu/using-nlu-only/)
- [Training Data Format](https://legacy-docs-v1.rasa.com/1.6.2/nlu/training-data-format/)
- [Choosing a Pipeline](https://legacy-docs-v1.rasa.com/1.6.2/nlu/choosing-a-pipeline/)
- [Language Support](https://legacy-docs-v1.rasa.com/1.6.2/nlu/language-support/)
- [Entity Extraction](https://legacy-docs-v1.rasa.com/1.6.2/nlu/entity-extraction/)
- [Components](https://legacy-docs-v1.rasa.com/1.6.2/nlu/components/)

# Core

- [About](https://legacy-docs-v1.rasa.com/1.6.2/core/about/#)
- [Stories](https://legacy-docs-v1.rasa.com/1.6.2/core/stories/)
- [Domains](https://legacy-docs-v1.rasa.com/1.6.2/core/domains/)
- [Responses](https://legacy-docs-v1.rasa.com/1.6.2/core/responses/)
- [Actions](https://legacy-docs-v1.rasa.com/1.6.2/core/actions/)
- [Policies](https://legacy-docs-v1.rasa.com/1.6.2/core/policies/)
- [Slots](https://legacy-docs-v1.rasa.com/1.6.2/core/slots/)
- [Forms](https://legacy-docs-v1.rasa.com/1.6.2/core/forms/)
- [Retrieval Actions](https://legacy-docs-v1.rasa.com/1.6.2/core/retrieval-actions/)
- [Interactive Learning](https://legacy-docs-v1.rasa.com/1.6.2/core/interactive-learning/)
- [Fallback Actions](https://legacy-docs-v1.rasa.com/1.6.2/core/fallback-actions/)
- [Knowledge Base Actions](https://legacy-docs-v1.rasa.com/1.6.2/core/knowledge-bases/)

# Conversation Design

- [Dialogue Elements](https://legacy-docs-v1.rasa.com/1.6.2/dialogue-elements/dialogue-elements/)
- [Small Talk](https://legacy-docs-v1.rasa.com/1.6.2/dialogue-elements/small-talk/)
- [Completing Tasks](https://legacy-docs-v1.rasa.com/1.6.2/dialogue-elements/completing-tasks/)
- [Guiding Users](https://legacy-docs-v1.rasa.com/1.6.2/dialogue-elements/guiding-users/)

# API Reference

- [Action Server](https://legacy-docs-v1.rasa.com/1.6.2/api/action-server/)
- [HTTP API](https://legacy-docs-v1.rasa.com/1.6.2/api/http-api/)
- [Jupyter Notebooks](https://legacy-docs-v1.rasa.com/1.6.2/api/jupyter-notebooks/)
- [Agent](https://legacy-docs-v1.rasa.com/1.6.2/api/agent/)
- [Custom NLU Components](https://legacy-docs-v1.rasa.com/1.6.2/api/custom-nlu-components/)
- [Rasa SDK](https://legacy-docs-v1.rasa.com/1.6.2/api/rasa-sdk/)
- [Events](https://legacy-docs-v1.rasa.com/1.6.2/api/events/)
- [Tracker](https://legacy-docs-v1.rasa.com/1.6.2/api/tracker/)
- [Tracker Stores](https://legacy-docs-v1.rasa.com/1.6.2/api/tracker-stores/)
- [Event Brokers](https://legacy-docs-v1.rasa.com/1.6.2/api/event-brokers/)
- [Lock Stores](https://legacy-docs-v1.rasa.com/1.6.2/api/lock-stores/)
- [Training Data Importers](https://legacy-docs-v1.rasa.com/1.6.2/api/training-data-importers/)
- [Featurization of Conversations](https://legacy-docs-v1.rasa.com/1.6.2/api/core-featurization/)
- [Migration Guide](https://legacy-docs-v1.rasa.com/1.6.2/migration-guide/)
- [Rasa OSS Change Log](https://legacy-docs-v1.rasa.com/1.6.2/changelog/)

# Migrate from (beta)

- [Dialogflow](https://legacy-docs-v1.rasa.com/1.6.2/migrate-from/google-dialogflow-to-rasa/)
- [Wit.ai](https://legacy-docs-v1.rasa.com/1.6.2/migrate-from/facebook-wit-ai-to-rasa/)
- [LUIS](https://legacy-docs-v1.rasa.com/1.6.2/migrate-from/microsoft-luis-to-rasa/)
- [IBM Watson](https://legacy-docs-v1.rasa.com/1.6.2/migrate-from/ibm-watson-to-rasa/)

# Reference

- [Glossary](https://legacy-docs-v1.rasa.com/1.6.2/glossary/)

# The Rasa Core Dialogue Engine

What am I looking at?

Rasa Core is a dialogue engine for building AI assistants.

It's part of the open source Rasa framework.

## What's cool about it?

Rather than a bunch of if/else statements, it uses a machine learning model trained on example conversations to decide what to do next.

That sounds harder than writing a few if statements.

In the beginning of a project, it seems easier to just hard-code some logic.

Rasa helps you when you want to go past that and create a bot that can handle more complexity.
This [blog post](https://medium.com/rasa-blog/a-new-approach-to-conversational-software-2e64a5d05f2a) explains the philosophy behind Rasa Core.

## Can I see it in action?

We thought you'd never ask!

Head over to the [Rasa Tutorial](https://legacy-docs-v1.rasa.com/1.6.2/user-guide/rasa-tutorial) for an interactive example.

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