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Overview Intelligent Flows in Kernaro are agentic workflows that allow users to automate multi-step reasoning, data transformation, and system integration processes. These flows connect multiple components, ranging from data inputs and LLM-based processing to EA tool interactions and output generation within a single, guided execution path. Each flow consists of a sequence of nodes, where each node performs a specific task such […]
Batch LLM Overview Batch LLM is designed to handle complex and large-scale processing scenarios within workflows by enabling asynchronous, batch-based inference. This approach is particularly useful when dealing with high-volume data or operations that require efficient, non-real-time execution. For most LLM providers, the configuration remains consistent with the standard setup. However, when using AWS Bedrock, additional configuration […]
Prerequisites for Installing a Template App in Power BI Before installing a Template App in Power BI, User Must ensure that the following prerequisites: Power BI Account Access to Power BI Service and AppSource Permissions and Licensing Data Source Access Copy them using the icon as shown in the image below. Note : Before coping with them, ensure […]
Overview This document serves as a comprehensive guide to leveraging the EA GraphLink connector to publish model information from Sparx Systems Enterprise Architect (EA) into Microsoft PowerBI. EA GraphLink is a purpose-built connector designed to empower the Sparx Systems community by transforming data captured in EA into dynamic, insightful reports within the PowerBI platform. The […]
This guide provides a structured overview of how to configure Kernaro Assist after installation. The Setup window is the central location for managing AI models, tools, agents, and system settings. Accessing the Setup Window To begin configuration: Add-Ins → Kernaro Assist → Setup The Setup window allows you to configure AI providers, manage agents, connect external tools, and adjust system behaviour. […]
