SKU: 11618994996

Chivas Regal 18 Year Old Blended Scotch Whisky 700ml / 500ml (40% ABV)

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Description

Chivas Regal 18 Year Old Blended Scotch Whisky 700ml / 500ml (40% ABV)Created in 1997, Chivas 18 is a firm favourite among many whisky aficionados. Its complex and wide ranging flavour profile has made it an iconic whisky blend, featuring no less than 85 flavour notes. Remarkable flavours of sweet butterscotch, dark chocolate, zesty orange and much more are ready for you to discover with every sip of Chivas 18. Only the finest casks out of thousands deep within the Scottish hills are used for this award winning blend.

Created in 1997, Chivas 18 is a firm favourite among many whisky aficionados. Its complex and wide-ranging flavour profile has made it an iconic whisky blend, featuring no less than 85 flavour notes.

Remarkable flavours of sweet butterscotch, dark chocolate, zesty orange and much more are ready for you to discover with every sip of Chivas 18.
Only the finest casks out of thousands deep within the Scottish hills are used for this award-winning blend.

 

Nose - Rich, indulgent and multi-layered aromas with hints of dried fruits, buttery toffee and dark chocolate.

Palate - A velvety, dark chocolate palate yields to elegant floral notes and a wisp of sweet, mellow smokiness.

Finish - Extremely warm, long finish.

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SKU: 11618994996

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Filipe Fernandes
Houston, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
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Reviewed in the United States on June 10, 2025
E
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Eddwin Paz
Los Angeles, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
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B. Black
Boise, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
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Joe Faith
Grantham, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025
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Tom C Taulli
Natrona Heights, US
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025

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