2.1 Context Engine: Actor+Actions
Context Engine
Figure 2.1:

Figure 2.1: TruCast Context Engine Use Case Diagram - This diagram illustrates the interaction between Users and the TruCast Context Engine, showcasing key functionalities and their resulting benefits. The left side depicts user actions such as selecting templates, deploying APIs, and building knowledge graphs. The right side highlights the corresponding benefits, including enhanced data relevance, faster decision-making, and scalable AI applications. Notes provide additional details on each use case, emphasizing features like Pydantic-powered schemas and OpenAPI deployment.
Trucast Engine Components
User: Represents the end-user or client interacting with the TruCast Context Engine.
Use Case Templates
Description: Predefined templates for various use cases.
User Action: Selects appropriate template for their needs.
Note: Utilizes logical schemas powered by Pydantic models.
Benefit: Operationalizes context, leading to enhanced data relevance.
Workflow API Deployment
Description: System for deploying APIs for workflows.
User Action: Deploys API for specific workflow.
Note: Deployment via OpenAPI with unique ID.
Benefit: Accelerates processes, enabling faster decision-making.
Knowledge Graph Creation
Description: Tool for building knowledge graphs.
User Action: Builds graph based on domain knowledge.
Note: Can be built from pre-configured or custom templates.
Benefit: Optimizes workflows, improving overall efficiency.
Query Enhancement
Description: System to improve and refine queries.
User Action: Enhances queries for better results.
Note: Enhances queries with smart schema selection.
Benefit: Scales solutions, enabling scalable AI applications.
AI-Ready Templates
Description: Pre-configured templates optimized for AI applications.
User Action: Implements template in their AI workflow.
Note: Allows swift implementation to unlock leverage.
Benefit: Contributes to overall system efficiency and scalability.
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