RAG Document Viewer is an open-source library that generates high-fidelity file previews for seamless integration into your applications. It provides desktop-level file viewing capabilities for a wide range of document formats

This repo demonstrates how to use Document Loaders in LangChain to fetch data from sources like text, PDFs, directories, web pages, and CSV files, and convert it into a standard Document format with content and metadata for use with LLMs.

A high-speed desktop Markdown browser suited for RAG document curation that uses Python and PySide6 and allows highlighting and bulk copying. Rapidly renders Mermaid, PlantUML, MathJax and BASE64 images with extensive caching. Like File Explorer for heavy duty Markdown file previewing.