
What Is Retrieval-Augmented Generation, aka RAG?
Retrieval-augmented generation is a technique for enhancing the accuracy and reliability of generative AI models with information from specific and relevant data sources.
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Learn from an industry expert with years of real-world experience in Java development and enterprise applications.
Senior Java Developer & Instructor
Welcome! I'm a passionate and results-driven Java developer with hands-on experience in building real-world enterprise applications that make a difference. Over the years, I've contributed to the development of impactful systems used by major organizations and have also dedicated myself to mentoring the next generation of developers.
I have had the opportunity to develop software solutions for major companies such as BP, Halliburton, and Kapital Bank, where my work is still actively used by professionals today.
Kapital Bank
Full-time
2020 - Present · 2+ yrs
Baku, Azerbaijan
Focused on developing innovative digital payment systems and student-focused financial solutions to enhance customer experience and accessibility.
LTC Lab
Part-time
2022 - Present · 2+ yrs
Azerbaijan
Working extensively with one of the most renowned software development courses in the country, helping students transition from zero programming experience to building professional-grade applications.
BP
Full-time
2022 - 2024 · 2 yrs
London, UK
Built multiple internal applications and systems to streamline operations and improve efficiency across various departments.
As part of my journey, I've worked extensively with LTC Lab which is one of the famous courses in the country where I have helped numerous students kickstart their careers in software development. Many of them started with zero experience in Java and are now building their own professional-grade applications.
I believe in creating software that is simple, scalable, and genuinely useful to end users. My mission is not just to build solutions, but also to inspire and empower others to do the same.
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Retrieval-augmented generation is a technique for enhancing the accuracy and reliability of generative AI models with information from specific and relevant data sources.
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What are its uses exactly? Most sites and blogs on google just list stuff like Mobile applications, Desktop applications, Gaming Applications, Big Data Technology, etc.