RAGGED EDGE BOX: Your Personal AI-Powered Document Search System
Welcome to RAGged Edge Box, an open-source Retrieval Augmented Generation (RAG) system designed to help you find and manage your confidential documents with ease. The state-of-the-art semantic search and AI-powered question-answering techniques make it simple to locate and access the information you need, all within the privacy of your own laptop.
Why Choose RAGged Edge Box?
- Privacy: Your documents never leave your laptop, ensuring complete confidentiality.
- Single-User Access: Designed for individual use, you have full control over your files.
- Advanced Search: AI-powered semantic search and question-answering capabilities make it possible retrieve difficult to find information.
- Easy to Install: Just a few simple steps to get started.
How It Works
RAGged Edge Box is a self-contained Linux Docker image that runs on your laptop using VirtualBox. It provides a user-friendly interface with two pages:
- Main Page: Search, Upload, and Document browse.
- Search Results Page: Displays the results of your search queries and select passage to us to answer questions.
Getting Started
Step 1: Install VirtualBox
Visit virtualbox.org and download the latest version of VirtualBox for the operating system in your laptop. Follow the installation instructions provided on the website.
Step 2: Download RAGged Edge Box VM
Download the RAGged Edge Box Virtual Machine (VM) from our website. This VM contains the Ragged Edge system and will run within VirtualBox.
Step 3: Launch Ragged Edge VM
Open VirtualBox and import the RAGged Edge Box VM. Launch the VM, and it will start running on your laptop.
Step 4: Access the Ragged Edge Website
Once the VM is running, browse to the internal IP address of the VM (http://localhost:8090) to access the Ragged Edge website. This is where you’ll interact with the system and manage your documents.
Step 5: Upload Your Documents
Using the RAGed Edge Box website, upload the documents you want to index and search. The system will automatically index your files and make them available for advanced semantic search and AI-powered question-answering. It supports common formats such as PDF, Word, HTML and text files.
Learning More
Checkout the source code of the project on GitHub and the slides from a recent talk on the project.
Ready to Transform Your Document Management Experience?
Get started with RAGged Edge Box today and discover the power of AI-driven search and retrieval for your confidential documents.