Mehdiazarafza/UAV-RAG
This repository explores the integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) for reasoning and question answering in the domain of Unmanned Aerial Vehicles (UAVs).
This project helps researchers and developers evaluate how well Large Language Models (LLMs) can answer complex questions about Unmanned Aerial Vehicles (UAVs). You provide UAV-specific questions and a knowledge base of research papers, and it outputs answers generated by various LLMs. It is designed for AI researchers and engineers working on intelligent systems for drone operations.
Use this if you are a researcher or AI engineer focused on assessing the accuracy and reasoning capabilities of LLMs in the specific context of UAV applications.
Not ideal if you are a drone operator looking for an immediate, ready-to-use AI assistant for real-time UAV operations.
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Jan 16, 2026
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