Warning: This document is for an old version of Rasa Core. The latest version is 0.14.5.

Tracker Stores

All conversations are stored within a tracker store. Rasa Core provides implementations for different store types out of the box. If you want to use another store, you can also build a custom tracker store by extending the TrackerStore class.

InMemoryTrackerStore (default)

Description:

InMemoryTrackerStore is the default tracker store. It is used if no other tracker store is configured. It stores the conversation history in memory.

Note

As this store keeps all history in memory the entire history is lost if you restart Rasa Core.
Configuration:

To use the InMemoryTrackerStore no configuration is needed.

RedisTrackerStore

Description:

RedisTrackerStore can be used to store the conversation history in Redis. Redis is a fast in-memory key-value store which can optionally also persist data.
Configuration:

To set up Rasa Core with Redis the following steps are required:

  1. Start your Redis instance

  2. Add required configuration to your endpoints.yml

    tracker_store:
    store_type: redis
    url: <host of the redis instance, e.g. localhost>
    port: <port of your redis instance, usually 6379>
    db: <number of your database within redis, e.g. 0>
    password: <password used for authentication>

  3. To start the Rasa Core server using your configured Redis instance, add the --endpoints flag, e.g.:

    python -m rasa_core.run --core models/dialogue --endpoints endpoints.yml
Parameters:
  • url (default: localhost): The url of your redis instance
  • port (default: 6379): The port which redis is running on
  • db (default: 0): The number of your redis database
  • password (default: None): Password used for authentication (None equals no authentication)
  • record_exp (default: None): Record expiry in seconds

MongoTrackerStore

Description:

MongoTrackerStore can be used to store the conversation history in Mongo. MongoDB is a free and open-source cross-platform document-oriented NoSQL database.
Configuration:

  1. Start your MongoDB instance.

  2. Add required configuration to your endpoints.yml

    tracker_store:
    store_type: mongod
    url: <url to your mongo instance, e.g. mongodb://localhost:27017>
    db: <name of the db within your mongo instance, e.g. rasa>
    username: <username used for authentication>
    password: <password used for authentication>
  3. To start the Rasa Core server using your configured MongoDB instance,

    add the --endpoints flag, e.g.:

    python -m rasa_core.run --core models/dialogue --endpoints endpoints.yml
Parameters:
  • url (default: mongodb://localhost:27017): URL of your MongoDB
  • db (default: rasa): The database name which should be used
  • username (default: 0): The username which is used for authentication
  • password (default: None): The password which is used for authentication
  • collection (default: conversations): The collection name which is used to store the conversations

Custom Tracker Store

Description:

If you require a tracker store which is not available out of the box, you can implement your own. This is done by extending the base class TrackerStore.

class rasa_core.tracker_store.TrackerStore(domain: Optional[rasa_core.domain.Domain], event_broker: Optional[rasa_core.broker.EventChannel] = None)[source]
Steps:

  1. Extend the TrackerStore base class. Note that your constructor has to provide a parameter url.

  2. In your endpoints.yml put in the module path to your custom tracker store and the parameters you require:

    tracker_store:
  store_type: path.to.your.module.Class
  url: localhost
  a_parameter: a value
  another_parameter: another value