🛠️ Advanced_Graph_RAG - Simplifying Your Business Insights

Welcome to Advanced_Graph_RAG! This application helps you answer questions about your Excel inventory and business PDFs using advanced techniques. You don’t need a technical background to use it. Follow these steps to get started.

To download Advanced_Graph_RAG, visit the Releases page below. You will find the latest version available for download.

1. Click the link above.
2. Find the latest version of the software on the Releases page.
3. Choose the appropriate file for your operating system (Windows, macOS, or Linux).
4. Click the file name to start the download.

Before you install Advanced_Graph_RAG, ensure your system meets these requirements:

• Operating System: Windows 10 or higher, macOS 10.15 or higher, or any modern Linux distribution.
• RAM: At least 4 GB recommended.
• Storage: 500 MB of free disk space.
• Dependencies: Ensure you have the latest version of Python installed. Check your version with the command python --version in your terminal or command prompt.

After downloading the application, follow these steps to run it:

1. Locate the downloaded file in your computer's download folder.
2. For Windows, double-click the .exe file. For macOS, open the .dmg file, then drag and drop the application to your Applications folder. For Linux, use your terminal to navigate to the downloaded file, then run ./filename (replace filename with the actual file name).
3. The application window will open, allowing you to start using it.

Once the application is running, you can start entering natural-language questions. Here’s how:

1. Upload Your Files: Click on the 'Upload' button to select your Excel files or PDFs.
2. Ask Questions: Type your questions into the provided text box.
3. View Results: The application will process your request and provide answers, along with a visual graph representation. You can export the results directly to Neo4j if needed.

Advanced_Graph_RAG includes several helpful features:

• Natural Language Processing: Easily ask questions and get answers.
• Graph Visualization: Understand relationships between data points with an intuitive graph.
• Export Capability: Transfer results directly to Neo4j for deeper analysis.
• Data Extraction: Pull structured fields like totals and GST from PDF files.

If you encounter issues while using Advanced_Graph_RAG, consider the following tips:

• Make sure your files are in the correct format (Excel or PDF).
• Ensure your system meets all requirements listed above.
• Restart the application if it becomes unresponsive.

For more help, you can visit our issues page.

We appreciate your input! To report bugs or suggest features, please open an issue in the GitHub repository. Your feedback helps us improve the application.

Join our community for tips, updates, and discussions about using Advanced_Graph_RAG. Connect with us on social media or our GitHub discussions page.

For more detailed information on how the application works, consult the following resources:

• Documentation
• Tutorial Videos
• FAQs

This project relates to the following topics: anthropic, bm25, document-intelligence, graph-rag, knowledge-graph, llm, neo4j, nlp, sentence-transformers, vector-database.

By following these steps, you can begin to leverage the power of Advanced_Graph_RAG for your business needs. Enjoy exploring your data!