Book “Build RAG applications with Django”

Book for building AI applications with Django

As a Software Engineer and founder of UnfoldAI, I am thrilled to introduce my latest book, “Build RAG Applications with Django” – an all-encompassing guide that empowers you to create state-of-the-art AI applications by leveraging the immense potential of Retrieval-Augmented Generation (RAG) and the Django web framework.

In this online book, I share my expertise and provide step-by-step guidance on designing, building, and deploying high-performance RAG applications. You’ll gain deep insights into the most effective techniques and approaches, enabling you to create AI apps with latest technologies.

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Here’s a glimpse of what you’ll discover inside:

  1. Unleashing the power of pgvector: Master the art of ultra-fast similarity search over massive datasets, unlocking unparalleled efficiency and performance for your AI applications.
  2. Advanced RAG architectures: Dive into the intricacies of cutting-edge RAG architectures, learning how to intelligently blend retrieval and generation for truly remarkable results. Explore dual encoder, fusion-in-decoder, and retriever-reader architectures, and learn how to choose the best approach for your specific use case.
  3. Building robust Django apps: Leverage the Django web framework to construct elegant, efficient, and scalable applications that form the backbone of your AI systems. Learn how to create models, implement API views, handle user authentication and permissions, and optimize your application for peak performance.
  4. Natural Language Processing with NLTK and Transformers: Discover how to harness the power of NLP techniques to preprocess text, extract features, and fine-tune pre-trained models for various tasks. Integrate these techniques seamlessly into your RAG application to enhance its understanding and generation capabilities.
  5. Integrating OpenAI APIs and models: Unlock the potential of OpenAI’s cutting-edge language models and APIs, such as GPT and Whisper, to generate human-like text, embed text, and transcribe audio. Learn how to incorporate these powerful tools into your RAG application to create truly impressive AI systems.
  6. Handling PDF and video content: Extract valuable information from diverse data sources, including PDFs and videos. Learn how to preprocess and index PDF content using PyMuPDF, and transcribe YouTube videos using pytube and whisper. Integrate this content seamlessly into your RAG application to expand its knowledge base.
  7. Crafting intuitive user interfaces: Create captivating and user-friendly interfaces by mastering Django templates and styling techniques. Learn how to handle user input, display search results and generated content, and create responsive designs that deliver exceptional user experiences.
  8. Asynchronous tasks and background processing: Discover how to handle resource-intensive tasks and optimize your application’s performance using Celery and task queues. Learn how to define, schedule, and monitor background tasks, ensuring your RAG application remains responsive and efficient.
  9. API documentation and testing: Ensure the reliability and maintainability of your RAG application by implementing comprehensive API documentation using drf-spectacular and writing robust tests. Explore best practices for automated testing and continuous integration to streamline your development process.
  10. Deployment and production considerations: Learn how to prepare your RAG application for production deployment using Docker and Cloudflare Tunnels. Discover best practices for serving your application with Gunicorn and Uvicorn, handling static files with WhiteNoise, and monitoring and scaling your application to handle increased traffic and usage.
  11. Integrating payment processing with Stripe: Monetize your RAG application by integrating secure payment processing using Stripe. Learn how to handle payments, subscriptions, and webhooks, and ensure the security of your transactions.
  12. Real-world examples and case studies: Gain practical insights from a variety of real-world examples and case studies, covering domains such as question answering, personalized recommendations, chatbots, sentiment analysis, and text summarization. Learn how to apply the concepts and techniques covered in the book to build powerful RAG applications tailored to specific use cases.
  13. Best practices and optimization techniques: Discover a wealth of best practices and optimization techniques to enhance the performance, scalability, and maintainability of your RAG application. Learn how to optimize database queries, implement caching strategies, handle large datasets, set up monitoring and logging, and leverage continuous integration and deployment (CI/CD) pipelines.

But that’s not all – “Build RAG Applications with Django” is packed with practical examples, code snippets, and real-world case studies, allowing you to learn by doing and immediately apply your newfound knowledge to your own projects.

selfGPT logoAs a special bonus, when you purchase the book, you’ll also receive the complete source code for selfGPT – a real-world RAG application built with Django. selfGPT transforms your PDFs and text files into interactive AI insights, summarizing pages, extracting and understanding images, and generating tailored AI insights. This valuable resource will give you a head start in creating your own RAG applications and provide a solid foundation for further customization and development.

Whether you’re an experienced machine learning engineer seeking to expand your skill set, or a web developer eager to harness the power of AI, this book is your key to unlocking the full potential of RAG and Django. Join me on this transformative journey and gain the expertise to build production-grade AI applications that stand out in today’s competitive landscape.

Don’t wait – get your copy of “Build RAG Applications with Django” today and embark on a path to revolutionize your AI development. Purchase the PDF version now and gain instant access to this invaluable resource, along with the complete selfGPT source code.

If you have any questions or need further information, feel free to reach out. I’m excited to support you on your journey to mastering RAG and Django!

Price: 19 USD

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If you are not interested in building AI applications but still want a good read – I can recommend some good books. Check the list here.