Unlocking Data With Generative by Keith Bourne (14 items)

Packt Publishing, 2024. Paperback. Like New. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.

Packt Publishing, 2024. Paperback. Very Good. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.

Packt Publishing, 2024-09-27. paperback. Used: Good. 0.50x7.50x9.25. Buy with confidence. Excellent Customer Service & Return policy.

new.

Packt Publishing, 2024-09-27. paperback. New. 0.50x7.50x9.25. Buy with confidence. Excellent Customer Service & Return policy.

Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantageKey Features:- Optimize data retrieval and generation using vector databases- Boost

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paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

Paperback / softback. New. Master cutting-edge Generative AI techniques like RAG to unlock the potential of your data, driving innovation and strategic advantage. Key Features Optimize data retrieval and generation with vector databases Boost decision-making and automate workflows with AI agents Overcome common challenges in implementing real-world RAG systems Book DescriptionGenerative AI is enabling organizations to tap into their data in new ways, driving innovation and strategic advantage. At the forefront is Retrieval-Augmented Generation (RAG), which combines the strengths of Large Language Models (LLMs) with internal data for more intelligent and relevant AI applications. Blended with theoretical foundations with practical techniques, it explores RAG's role in enhancing organizational operations. Through detailed coding examples using tools like LangChain and Chroma's vector database, you will gain hands-on experience in integrating RAG into AI systems. Real-world case studies and sample… Read more

Paperback / softback. New. Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Build next-gen AI systems using agent memory, semantic caches, and LangMem Implement graph-based retrieval pipelines with ontologies and vector search Create intelligent, self-improving AI agents with agentic memory architectures Book DescriptionDeveloping AI agents that remember, adapt, and reason over complex knowledge isn’t a distant vision anymore; it’s happening now with Retrieval-Augmented Generation (RAG). This second edition of the bestselling guide leads you to the forefront of agentic system design, showing you how to build intelligent, explainable, and context-aware applications powered by RAG pipelines. You’ll master the building blocks of agentic memory, including semantic caches, procedural learning with LangMem, and the emerging CoALA… Read more

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Packt Publishing, 2025-12-30. paperback. New. 7x1x9. New Book, Ships with Tracking

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Paperback. LIKE NEW/LIKE NEW.