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📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor, VS Code, and any MCP client.
Privacy-first, 100% offline PDF intelligence desktop app — Tauri 2 + React + embedded SurrealDB vector search + local llama.cpp RAG. No cloud, no API keys, no telemetry.
This project is a visual Retrieval-Augmented Generation (RAG) system that uses Cohere's Embed-4 model to semantically retrieve relevant images and PDF pages. It then leverages Google's Gemini 2.5 Flash model to provide context-aware answers based on the retrieved visual content.