New EA Model Configuration Features for Precise Data Retrieval

Overview  This update introduces new capabilities in the EA Model Configuration module, enabling finer control over how Graph Queries are executed. Users can now exclude selected packages from GraphQL queries, manage exclusions through a structured repository tree, and retrieve additional data types through the enhanced Generic schema.  Package Exclusion in Graph Queries  A new option […]

Configuration MCP Tools

User Guide: Adding and Configuring MCP Tools 

Overview  This guide explains the process of adding, configuring, and enabling MCP (Model Context Protocol) tools within the platform. Each MCP tool requires specific configuration details, followed by loading and selecting the tool for use in Kernaro AI Chat.  Steps to Add an MCP Tool  1. Navigate to Add Tools (MCP)  2. Provide Tool Configuration Details  […]

Web Search Agent

How to Set Up Kernaro Web Search for Fresh Data

Introduction  Kernaro AI supports real-time web searches, enabling it to retrieve the latest information from the internet. This feature enhances Kernaro AI’s responses by supplementing model-based insights with relevant and current external content from trusted web sources.  Supported Search Engines:  Configuring Search Engine Access  To configure a web search engine in Kernaro AI:  1. Navigate to Configuration → Tools […]

Configure EA GraphLink in kernaro

Configuring EA GraphLink in Kernaro 

Overview  EA GraphLink serves as the connection layer between Kernaro AI and the Sparx Systems Enterprise Architect (EA) database. It enables Kernaro AI to interpret user prompts and retrieve model data accurately through a secure graph-based API.  Configuring EA GraphLink in Kernaro AI is a mandatory setup that allows all EA-related queries, such as fetching elements, relationships, or […]

Embedded LLM

How to Configure the Embedding LLM in Kernaro

Introduction  The Embedding LLM in Kernaro AI is a mandatory configuration that enables Kernaro AI to understand and process the semantic meaning of your documents. It works by transforming uploaded documents into vector representations, allowing Kernaro AI to perform accurate context-based searches and retrieve the most relevant information during a chat or query.  This setup is essential for […]