GeoRAG: Spatial Reasoning of Modern LLMs Combined With Retrieval-Augmented Generation (RAG) for On-The-Fly Geospatial Dataset Generation

GeoRAG combines Retrieval-Augmented Generation (RAG) with the advanced spatial reasoning capabilities of modern large language models (LLMs) to advance geospatial intelligence. Designed to ingest and process large repositories of documents, it extracts geospatial insights and provides users with a seamless, prompt-based interface to explore this information. By integrating authoritative geodata, GeoRAG ensures high accuracy and reliability in on-the-fly geospatial dataset generation. This powerful combination delivers rapid, trusted insights, empowering users to make confident, data-driven decisions.