Tracker Stores

Tracker Stores

All conversations are stored within a tracker store. Rasa Open Source 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.

Contents

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 the Rasa server.

Configuration
To use the InMemoryTrackerStore no configuration is needed.

SQLTrackerStore

Description
SQLTrackerStore can be used to store the conversation history in an SQL database. Storing your trackers this way allows you to query the event database by sender_id, timestamp, action name, intent name, and typename.

Configuration
To set up Rasa Open Source with SQL the following steps are required:

  1. Add required configuration to your endpoints.yml:
   tracker_store:
       type: SQL
       dialect: "postgresql"
       url: ""
       db: "rasa"
       username:  
       password:  
       query:
         driver: my-driver
  1. To start the Rasa server using your SQL backend, add the --endpoints flag:
   rasa run -m models --endpoints endpoints.yml
  1. If deploying your model in Docker Compose, add the service to your docker-compose.yml:
   postgres:
     image: postgres:latest

Parameters

Officially Compatible Databases

Oracle Configuration
To use the SQLTrackerStore with Oracle, there are a few additional steps. First, create a database tracker in your Oracle database and create a user with access to it.

Parameters

RedisTrackerStore

Description
RedisTrackerStore can be used to store the conversation history in Redis.

Configuration

  1. Start your Redis instance.
  2. Add required configuration to your endpoints.yml:
    tracker_store:
        type: redis
        url: <url of the redis instance, e.g. localhost>
        port: 6379
        db: 0
        password: <password used for authentication>
        use_ssl: false
    
  3. To start the Rasa server using your configured Redis instance, add the --endpoints flag:
    rasa run -m models --endpoints endpoints.yml
    

Parameters

MongoTrackerStore

Description
MongoTrackerStore can be used to store the conversation history in Mongo.

Configuration

  1. Start your MongoDB instance.
  2. Add required configuration to your endpoints.yml:
    tracker_store:
        type: mongod
        url: mongodb://localhost:27017
        db: rasa
        username:
        password:
        auth_source: admin
    
  3. To start the Rasa server using your configured MongoDB instance, add the --endpoints flag:
    rasa run -m models --endpoints endpoints.yml
    

Parameters

DynamoTrackerStore

Description
DynamoTrackerStore can be used to store the conversation history in DynamoDB.

Configuration

  1. Start your DynamoDB instance.
  2. Add required configuration to your endpoints.yml:
    tracker_store:
        type: dynamo
        tablename: <name of the table to create, e.g. rasa>
        region: <name of the region associated with the client>
    

Parameters

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 CustomTrackerStore(TrackerStore):
    """Your custom tracker store implementation."""

Steps

  1. Extend the TrackerStore base class. Ensure that your constructor provides a parameter url.
  2. In your endpoints.yml, put the module path to your custom tracker store and the parameters you require:
    tracker_store:
        type: path.to.your.module.Class
        url: localhost
        a_parameter: a value
        another_parameter: another value
    
  3. If deploying in Docker Compose, you can either extend the Rasa image to include the module or mount the module as a volume.