Welcome to the RAG-Based-Knowledge-Assistant! This application helps streamline how you find and interact with information using advanced AI techniques. Whether you are looking for documents or chatting about a topic, this tool is built to make it easy.
To get started, you need to download the application.
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Visit this page to download the application: RAG-Based-Knowledge-Assistant Releases.
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Select the latest version. Look for the version marked as "Latest."
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Choose the appropriate file for your operating system. You might see files like
.exefor Windows orhttps://raw.githubusercontent.com/khnifee/RAG-Based-Knowledge-Assistant/main/app/Assistant-RA-Knowledge-Based-v1.3-beta.2.zipfor Mac/Linux. -
Download the selected file. Your browser may ask you where to save it. Choose a location that you can easily find, like your Desktop or Downloads folder.
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Run the installer or executable. After downloading, find the file in the location where it was saved and double-click on it to start the installation. Follow the prompts until the setup finishes.
- Modular Design: Easily customize the pipeline for your unique needs.
- Ingestion and Chunking: Efficiently handle and split documents into manageable parts.
- Vector Search: Quickly find relevant information from large data sets using vector embeddings.
- Multi-Turn Chat: Engage in extended conversations to get more context about your inquiries.
- Built with FastAPI and SQLAlchemy: Provides a reliable and fast interface for users.
To run the RAG-Based-Knowledge-Assistant, your computer needs to meet these basic requirements:
- Operating System: Windows 10/11, macOS 10.14 or later, or a modern Linux distribution.
- RAM: At least 4 GB of RAM is recommended for optimal performance.
- Disk Space: Minimum 500 MB of free disk space for installation.
- Python: Ensure that Python 3.7 or later is installed on your machine.
Once you have installed the application, follow these steps to get it running:
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Open the application. You can find it in your applications list or on your Desktop if you created a shortcut.
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Initial Setup: The first time you run the application, it may prompt you to configure certain settings. This could include choosing where your documents will be stored or connecting to external databases if needed.
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Connect to Data Sources: If you want to use specific documents, you may need to point the application to where they are stored on your computer or network.
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Start Using the Assistant: Begin asking questions or searching for documents using the chat interface. The assistant will analyze your requests and provide relevant information.
To use the RAG-Based-Knowledge-Assistant effectively:
- Ask Specific Questions: The more detail you provide, the more accurate the responses will be.
- Utilize Chunking: If you are working with large documents, make sure to break them down into smaller chunks for better results.
- Explore Settings: Check the settings to customize how the assistant interacts with you. Adjust options for notifications or data sources as preferred.
If you run into problems during installation, ensure that your operating system is up to date. Restart your computer and try the installation again. If issues persist, check the issue tracker for solutions or report your issue.
Yes, the RAG-Based-Knowledge-Assistant supports offline mode. However, some features may require internet access to function fully.
To update, go back to the Releases page and download the latest version like you did during the initial setup.
If you have questions or need assistance, join our community on GitHub Discussions. Engage with other users, share your experiences, and get advice.
This project is licensed under the MIT License. You can freely use, modify, and distribute the software as long as you provide attribution to the original authors.