Key Features
- Optimize data retrieval and generation using vector databases
- Boost decision-making and automate workflows with AI agents
- Overcome common challenges in implementing real-world RAG systems
- Purchase of the print or Kindle book includes a free PDF eBook
Who this book is for
This book is for AI researchers, data scientists, software developers, and business analysts looking to leverage RAG and generative AI to enhance data retrieval, improve AI accuracy, and drive innovation. It is particularly suited for anyone with a foundational understanding of AI who seeks practical, hands-on learning. The book offers real-world coding examples and strategies for implementing RAG effectively, making it accessible to both technical and non-technical audiences. A basic understanding of Python and Jupyter Notebooks is required.