RAGVision - Offline Retrieval -Augmented Generation System

RAGVision offers a privacy-focused, fully offline Retrieval-Augmented Generation (RAG) system. This allows for smart, context-aware interaction with documents without needing the internet. By using local large language models (LLMs) and semantic vector retrieval, RAGVision provides secure, clear, and visual ways to extract information from both scanned and digital documents. The system particularly addresses issues in sensitive areas, like government and enterprise document analysis, by handling all processing locally. This reduces privacy risks, lowers operating costs, and decreases reliance on cloud services. With OCR modules, including PyMuPDF and Tesseract, vector embeddings via Ollama and FAISS, and AES-256 encryption, RAGVision offers quick, clear responses to queries and visual confirmation of results within documents. This supports real-time, confidential document intelligence for today’s organizations.