Welcome to the Scraping_AI_with_RAG_Tune project! This guide will walk you through downloading and running the application. You will learn how to collect information from web pages and use it for powerful question answering.
Before diving in, make sure your computer meets the following requirements:
- Operating System: Windows, macOS, or Linux
- Memory: At least 4 GB of RAM
- Disk Space: Minimum of 200 MB of available space
- Internet Connection: Required for downloading and data scraping
This application allows you to:
- Scrape data from multiple web pages.
- Use a Retrieval-Augmented Generation (RAG) system.
- Generate answers using advanced language models.
- Store and retrieve data efficiently with a vector database.
- Visit the Releases page to access the latest version.
- Look for the file that matches your operating system.
- Click on the download link to start the download process.
- Once downloaded, locate the file in your downloads folder.
- Double-click the file to run the installation process.
Follow any on-screen instructions to complete the installation.
After installing, open the application to start using it:
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Set up your scraping parameters:
- Enter the website URL you want to crawl.
- Specify the data you want to collect (like text, images, or links).
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Run the scraper:
- Click the "Start Scraping" button.
- Wait for the process to complete. The application will show a progress bar.
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Ask questions:
- Use the provided interface to ask questions based on the scraped data.
- The system will provide relevant answers in seconds.
If you encounter issues, try the following:
- Check your URL: Make sure the website you want to scrape is valid and accessible.
- Review permissions: Ensure the application has permission to access the internet.
- Restart the app: Close and reopen the application if you experience glitches.
Additionally, check the FAQ section on the Releases page for common problems and solutions.
For more in-depth information:
- Consult the Wiki.
- Review our examples and tutorials to become proficient.
If you need further assistance, please open an issue on the GitHub repository or contact the support team via the provided contact options on the Releases page.
To better understand the concepts of web scraping and RAG systems, explore the following topics:
- Basics of web scraping
- Retrieval-Augmented Generation in AI
- Effective use of vector databases
After you've set everything up, consider experimenting with advanced features like:
- Configuring different scraping strategies.
- Integrating external databases for enhanced performance.
- Fine-tuning the question-answering capabilities.
This project combines cutting-edge technology to meet your needs for information gathering and analysis. Happy scraping!