debanjan06/geospatial-rag
AI Framework for Remote Sensing Image Analysis using RAG - 88%+ accuracy, multi-modal queries, ChatGPT-like interface
Combines CLIP vision-language embeddings with SQLite vector storage to enable semantic retrieval across remote sensing imagery and captions, integrated with LangChain for LLM-based response generation. Built with a Streamlit web interface and supports both text and image queries against a pre-indexed database of 10,975+ remote sensing scenes, achieving real-time cross-modal search with GPU acceleration.
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Language
Python
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MIT
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Last pushed
Jul 27, 2025
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