Tutorial Knowledge Base

This repository contains the code that is referred to in the tutorial Integrating Rasa with graph databases to encode domain knowledge and resolve entities.

Requirements

Install requirements:

pip install -r requirements.txt

Setting up the Graph Database

Our knowledge base is represented by a graph database. In this repository Grakn is used as a graph database. However, you can also use any other graph database or even write your domain knowledge into a dictionary in the python code directly.

In order to use this code example, you need to install Grakn. Please check the installation instruction of Grakn in order to install it. Once you installed Grakn, you need to start the Grakn server by executing

grakn server start

You can stop the server by running grakn server stop.

In order to get some data into the graph database you need to execute the following steps:

1. Create the schema by executing

   graql console --keyspace banking --file knowledge_base/schema.gql

   This will create a keyspace banking in your Grakn graph database with the schema defined in knowledge_base/schema.gql.
2. Load data into your schema by running

   python knowledge_base/migrate.py

   Grakn recommends you to write a migrate.py script (see migration-python) to load data from csv files into your graph database. Our migration script loads the data located in knowledge_base/data into the keyspace banking.

The graph database is set up and ready to be used.

Chat with the Bot

If you want to chat with the bot, execute the following steps:

1. Train the bot using rasa train.
2. Start the action server with rasa run actions in a separate terminal.
3. Chat with the bot on the command line by executing rasa shell.

If you want to see what slots are set and how confident the bot is in predicting the next action, you should run the bot in debug mode: rasa shell --debug.

Here are some example questions you can ask the bot:

• “What are my bank options?”
• “What is the headquarter of the first bank?”
• “What accounts do I have?”
• “What is my balance on that account?”
• “How much money did I spend on food?”
• “What are my recent transactions?”

Feedback

If you have any questions about the tutorial or this repository, feel free to share them on Rasa Community Forum.