SKU: 95224328751

Bett MERAN Wildeiche massiv

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Description

Bett MERAN Wildeiche massivBett Meran mit Kopfteil, Wildeiche massiv natur gelt. Inkl. Lngstraverse (Grssen 120 und 140 cm ohne Lngstraverse). Matratzenmass: 120 140 160 180 200 x 200 cm, Aussenmass: 125 145 165 185 205 x 218 cm Oberkante Bettrahmen 43 cm, Gesamthhe 87 cm Einlegetiefe 18. 5 cm, Bettseitenhhe 21 cm Nachttische mit 1 Schublade (siehe Bild) sind auf Anfrage erhltlich fr CHF 278. Stk. Lattenroste und Matratzen knnen wir Ihnen gerne offerieren. Es handelt sich um

Bett «Meran» mit Kopfteil, Wildeiche massiv natur geölt. Inkl. Längstraverse (Grössen 120 und 140 cm ohne Längstraverse).

Matratzenmass: 120/140/160/180/200 x 200 cm, Aussenmass: 125/145/165/185/205 x 218 cm

Oberkante Bettrahmen 43 cm, Gesamthöhe 87 cm

Einlegetiefe 18.5 cm, Bettseitenhöhe 21 cm

Nachttische mit 1 Schublade (siehe Bild) sind auf Anfrage erhältlich für CHF 278.-/Stk.

Lattenroste und Matratzen können wir Ihnen gerne offerieren.

Es handelt sich um einen neuen Bettrahmen, zerlegt und originalverpackt (Symbolbilder, ohne Bettinhalt, ohne Dekoration).

Der Artikel kann ohne zusätzliche Kosten während unseren Öffnungszeiten in 5035 Unterentfelden abgeholt und bar, mit EC- oder Postkarte (keine Kreditkarten) bezahlt werden oder kann gebührenpflichtig geliefert werden (nur CH und FL).

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SKU: 95224328751

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4.8 ★★★★★
Based on 18 reviews
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Product Reviews
F
Verified Purchase
Filipe Fernandes
Massapequa, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Lexington, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 19, 2025
B
Verified Purchase
B. Black
Cuba, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2025
J
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025
T
Tom C Taulli
Lake Worth, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2025

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