Rainbird
  • 🏃‍♂️Getting started
    • What is Rainbird?
    • How does Rainbird work?
    • Example use cases
      • 📈Investment suitability assessment
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    • Quickstart guide
    • Onboarding with Rainbird
  • 🧠Knowledge Modelling
    • What is knowledge modelling?
    • What is a query?
    • Modelling
      • Concepts
        • Concept instances
      • Relationships
        • Question Configuration
        • Rules
          • Match, Infer, Ask process
          • Expressions List
      • Facts
      • Datasources
      • Other features
        • Markdown
        • Import/Export Knowledge Maps
      • Troubleshooting Tips
    • Testing
      • Manual tests
      • Automated tests
      • External User Acceptance Testing (UAT)
    • Versioning
    • Publishing
      • API Management
      • Setting a live version
      • Publishing an agent
    • Stats and Reporting
    • Managing your data
    • The library
      • How to: update a template
  • 🔍Evidence
    • What is evidence?
    • The Evidence Tree
      • The Salience Chart
  • 👩‍💻Developer guides
    • Overview
    • API Guide
      • API request flow
      • Run example queries
      • Environments
      • Error codes
      • Skipping an answer to a question
      • Retrieving a full Evidence Tree for use with a custom UI or application
      • Building an Evidence Tree URL
    • API interactive documentation
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    • /interact
    • /explain
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  1. Knowledge Modelling

What is knowledge modelling?

Last updated 1 year ago

Knowledge modelling in Rainbird is about representing your domain of expertise, including how you make decisions, solve problems and apply your knowledge in a way that can be interpreted by our engine to reason, make decisions, and solve problems in a manner similar to yourself.

Using the Rainbird Studio, you can build models of your knowledge as a Knowledge Map (KM), without having to write any code.

The goal of building a Knowledge Map is to be able to query it (i.e. ask it a question) and for the reasoning engine to use the logic and data encoded within it to be able to provide you with a query result.

The guides in this section will help you understand the features of the Rainbird Studio necessary to build the structure and logic of a knowledge map and test it by making queries to it.

More detailed training is available in the , which provides practical examples of how you can use these features.

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Rainbird Academy