/Readex_PDFreader

A PDF Query AI utilizing LLAMA, Pinecone, and Langchain technologies to provide efficient and accurate search capabilities within PDF documents. This project showcases the integration of advanced natural language processing and machine learning algorithms to enhance document retrieval and analysis.

Primary LanguageJupyter NotebookMIT LicenseMIT

📚 ReadEx: PDF Query AI

ReadEx is a cutting-edge tool that combines the power of LLAMA, Pinecone, and Langchain technologies to revolutionize PDF document search and analysis. With advanced natural language processing and machine learning algorithms, ReadEx provides efficient and highly accurate search capabilities within PDF documents, making it an essential tool for researchers, students, and professionals.

🚀 Features

📖 Efficient Search: ReadEx allows you to search within PDF documents with lightning-fast speed, thanks to LLAMA's advanced indexing and retrieval capabilities.

🔎 Accurate Results: Our AI-powered algorithms ensure that you get the most precise and relevant results for your queries.

🤖 Natural Language Processing: ReadEx understands natural language queries, making it user-friendly and accessible to all levels of users.

📊 Document Analysis: Analyze PDF documents to extract valuable insights and metadata for in-depth research.

📂 Organized Library: Organize and manage your PDF documents effortlessly, improving your workflow.

📝 Getting Started

To use ReadEx, follow these simple steps:

  1. Installation: Clone this repository and set up the required dependencies.

  2. Configuration: Configure your API keys and settings for Pinecone and Langchain in the config.yml file.

  3. Run the Application: Start the ReadEx application and begin searching and analyzing PDF documents.

python readex.py

🔧 Dependencies

📖 Documentation

Detailed documentation on how to use ReadEx and its API can be found here.

🤝 Contributing

We welcome contributions from the community. If you'd like to enhance ReadEx or report issues, please check our Contribution Guidelines. Special thanks to all module creators and OpenAI.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Contact

For any questions or support, feel free to reach out to us at itsdg19@gmail.com.

🌟 Acknowledgments

We would like to express our gratitude to the LLAMA, Pinecone, and Langchain teams for their amazing technologies that power ReadEx.

Happy Reading with ReadEx! 📚✨