Unlocking Data with Generative AI and RAG

Unlocking Data with Generative AI and RAG

eBook Details:

  • Paperback: 346 pages
  • Publisher: WOW! eBook (September 27, 2024)
  • Language: English
  • ISBN-10: 1835887910
  • ISBN-13: 978-1835887905

eBook Description:

Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG. Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantage.

Generative AI is helping organizations tap into their data in new ways, with retrieval-augmented generation (RAG) combining the strengths of large language models (LLMs) with internal data for more intelligent and relevant AI applications. The author harnesses his decade of ML experience in this Unlocking Data with Generative AI and RAG book to equip you with the strategic insights and technical expertise needed when using RAG to drive transformative outcomes.

The book explores RAG’s role in enhancing organizational operations by blending theoretical foundations with practical techniques. You’ll work with detailed coding examples using tools such as LangChain and Chroma’s vector database to gain hands-on experience in integrating RAG into AI systems. The chapters contain real-world case studies and sample applications that highlight RAG’s diverse use cases, from search engines to chatbots. You’ll learn proven methods for managing vector databases, optimizing data retrieval, effective prompt engineering, and quantitatively evaluating performance. The book also takes you through advanced integrations of RAG with cutting-edge AI agents and emerging non-LLM technologies.

  • Understand RAG principles and their significance in generative AI
  • Integrate LLMs with internal data for enhanced operations
  • Master vectorization, vector databases, and vector search techniques
  • Develop skills in prompt engineering specific to RAG and design for precise AI responses
  • Familiarize yourself with AI agents’ roles in facilitating sophisticated RAG applications
  • Overcome scalability, data quality, and integration issues
  • Discover strategies for optimizing data retrieval and AI interpretability

By the end of this Unlocking Data with Generative AI and RAG book, you’ll be able to successfully deploy RAG in business settings, address common challenges, and push the boundaries of what’s possible with this revolutionary AI technique.

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