boxcalfdevelopmentallearning748/OpenScout
boxcalfdevelopmentallearning748
Python1updated 4mo ago
Python1updated 4mo ago🔍 Enhance your queries with OpenScout, a RAG system that retrieves, ranks, and synthesizes web content for concise answers using LLM integration.
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README
🚀 OpenScout - Your Smart Answer Engine Awaits
📚 Overview
OpenScout is a Perplexity-inspired answer engine. It transforms a single question into a well-researched, cited response. With features such as web search, retrieval, and LLM synthesis, OpenScout offers a streamlined experience in a lightweight Streamlit application.
⚙️ Features
- Quick Answers: Get instant, cited answers to your questions.
- User-Friendly Interface: Designed for everyone, no tech skills required.
- Powered by Advanced Technologies: Utilizes web search and generative AI.
- Easy Setup: Simple installation process.
📝 System Requirements
To run OpenScout, ensure your system meets the following requirements:
- Operating System: Windows 10 or higher, macOS 10.15 or higher, or any modern Linux distribution.
- Python: Python 3.8 or higher.
- RAM: Minimum 4 GB recommended.
- Storage: At least 500 MB of free space.
🚀 Getting Started
- Visit the Download Page: To download OpenScout, click here.
- Choose the Latest Release: Look for the latest version in the releases section. The latest version offers the newest features and bug fixes.
- Download the Installer: Click on the appropriate installer for your operating system.
📥 Download & Install
To start using OpenScout, visit this page to download: Download OpenScout.
Installation Steps
- Run the Installer:
- For Windows, double-click the
.exefile. - For macOS, open the
.dmgfile and drag
- For Windows, double-click the