000			02041nam a22002177a 4500
005			20260722143906.0
008			260722s2024 |||||||| |||| 00| 0 eng d
020			_a9781835887905
040			_cPK-LaUMT
082			_a006.3 _bBOU-U
100	1		_aBourne, Keith _914023
245	1	0	_aUnlocking data with generative AI and RAG : _benhance generative AI systems by integrating internal data with large language models using RAG / _cKeith Bourne
260			_aBirmingham : _bPackt Publishing, _c2024
300			_axxii, 323 p.
500			_aIndex present
520			_a"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 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 quatitatively evaluating performance. The book also takes you through advanced integrations of RAG with cutting-edge AI agents and emerging non-LLM technologies. By the end of this 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"--Cover, page 4
546			_aEng
650			_aGenerative-AI _99558
650			_aLarge language models-AI _914024
942			_cBK
999			_c141574 _d141574