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Developed plugins using RAG and agentic AI to reword prompts and generate KQL queries from scratch or with context. Designed for integration into AI copilots and security platforms to enable context-aware query generation and natural language workflows.

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Sharukesh3/copilot_solutions

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Project Description

This project involves the development of intelligent plugins designed to improve prompt rewording and generate Kusto Query Language (KQL) queries. By leveraging Retrieval-Augmented Generation (RAG) and agentic AI techniques, the plugins can either construct queries from scratch or refine them based on contextual information retrieved dynamically. The solution is tailored for integration into advanced AI copilots and security-focused platforms, enabling streamlined, context-aware query generation and natural language interactions for enhanced threat investigation and data analysis workflows.

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Developed plugins using RAG and agentic AI to reword prompts and generate KQL queries from scratch or with context. Designed for integration into AI copilots and security platforms to enable context-aware query generation and natural language workflows.

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