amir

amirfakhrullah

projects

PrivArchive: Knowledge Base for your local files

Desktop app for local RAG on private files. Fully offline, no cloud, just you and your private data 🔐

About the app

PrivArchive is a privacy-first desktop application designed to help you build a personal knowledge base from your local files—completely offline. With PrivArchive, you can search, summarize, and interact with your documents using advanced Retrieval-Augmented Generation (RAG) techniques, all without ever uploading your data to the cloud.

Key Features

  • Local-Only AI: All processing happens on your machine. Your files never leave your device, ensuring maximum privacy and security.
  • RAG-Powered Search: Quickly find relevant information across PDFs, text files, and more using state-of-the-art local language models (Ollama).
  • Rich Document Support: Import and index a variety of file types, including PDFs, Markdown, and plain text.
  • Modern UI: Built with Vite, TailwindCSS, and ShadCN UI for a fast and intuitive user experience.
  • Database Integration: Local PostgreSQL database (via Docker) for efficient, reliable storage and retrieval of document metadata and embeddings—all fully contained on your machine.
  • Easy Setup: Dockerized deployment for hassle-free installation and updates.

Use Cases

  • Build a personal knowledge base from research papers, legal documents, notes, and reference materials.
  • Search and summarize large collections of documents without relying on third-party services.
  • Maintain full control over sensitive or proprietary information.

PrivArchive empowers you to harness the power of AI for your own data, on your own terms.

amir

amirfakhrullah

Design inspired by GitHub

Prefer light theme, fancy animations, bigger fonts and spacing? Visit my alternative portfolio.