The document-qa-rag-system is a simple Retrieval-Augmented Generation (RAG) project designed for users who want to interact with their documents through natural language. Built with LangChain and Streamlit, this application allows you to upload PDF or TXT files and query them using questions. It uses powerful embeddings and vector search technology to provide accurate answers.
To get started with document-qa-rag-system, follow these steps:
-
Download the Application
- Head over to our Releases Page to download the latest version of the application. Click the link above.
-
Install the Application
- Once downloaded, locate the file in your downloads folder. Most likely, it will be in
.exeformat for Windows. For Mac or Linux, it may be in a.dmgor appropriate format. - Double-click the file to begin the installation process. Follow the on-screen instructions to install the application.
- Once downloaded, locate the file in your downloads folder. Most likely, it will be in
-
Run the Application
- After installation, open the document-qa-rag-system from your applications folder or desktop.
- You will see an interface where you can upload your documents.
-
Select Your Document
- Click the "Upload Document" button on the main interface. You can choose either PDF or TXT files.
-
Submitting Questions
- After the document is uploaded, you will see a text input box. Here, type your natural language question regarding the document. The system will quickly fetch an answer based on the document’s content.
- Multiple Document Formats: Supports PDF and TXT files, allowing flexibility in what you can upload.
- Natural Language Queries: Interact with your documents in a simple and intuitive way using everyday language.
- Fast Responses: Get quick answers to your questions with the help of embeddings and vector search.
- User-Friendly Interface: Designed with the average user in mind, making it easy for anyone to navigate.
Ensure your system meets these requirements to run the document-qa-rag-system smoothly:
- Operating System: Windows 10 or later, macOS 10.15 or later, or a recent version of Linux.
- RAM: Minimum 4 GB of RAM.
- Disk Space: At least 200 MB of free space for installation and additional space for uploaded documents.
- Python Version: Python 3.7 or later must be installed on your system.
To access the latest version of document-qa-rag-system, simply visit our Releases Page.
Click on the latest release to download the application. Follow the installation instructions mentioned above.
If you encounter any issues, feel free to reach out through our GitHub Issues page. We’ll be happy to assist you.
We welcome contributions! If you have suggestions or improvements, please feel free to submit a pull request. This ensures that the project keeps evolving and meets user needs effectively.
Join our community of users and developers. Share your experiences, tips, and ask questions. Engage with others to learn more about using document-qa-rag-system efficiently.
Explore topics related to document searching and natural language processing:
Feel free to dive into these resources for further learning and enhancement of your experience with document-qa-rag-system.
🙌 Thank you for choosing document-qa-rag-system! We hope you enjoy the ease of interacting with your documents.