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Description
BH wattiert Model 204180 MatPhnomenaler BH Carmela Big. Erhltlich in groen Gren. Betont schn das Dekollet, kaschiert perfekt den Busen. Dank eines breiten, dekorativen Trgers erlaubt er, die Asymmetrie der Brste zu kaschieren. Die Krbchen sind aus feiner schwarzer Spitze gefertigt, die die Brste sexy umhllt und sanft am Trger hochkriecht. Die formschnen Cups sind auf einem Spitzenlatz angebracht. Glatter Rcken aus Stretch Strick. Verstellbare, nicht abnehmbare Trger.
Phänomenaler BH Carmela Big. Erhältlich in großen Größen. Betont schön das Dekolleté, kaschiert perfekt den Busen. Dank eines breiten, dekorativen Trägers erlaubt er, die Asymmetrie der Brüste zu kaschieren. Die Körbchen sind aus feiner schwarzer Spitze gefertigt, die die Brüste sexy umhüllt und sanft am Träger hochkriecht. Die formschönen Cups sind auf einem Spitzenlatz angebracht. Glatter Rücken aus Stretch-Strick. Verstellbare, nicht abnehmbare Träger. Zweireihiger Haken- und Ösenverschluss mit dreistufiger Regulierung.
Baumwolle 18 %
Elastan 6 %
Polyamid 66 %
Polyurethan 10 %
Elastan 6 %
Polyamid 66 %
Polyurethan 10 %
| Größe | Unterbrustumfang | Brustumfang |
|---|---|---|
| 100B | 98-102 cm | 114-116 cm |
| 100C | 98-102 cm | 116-118 cm |
| 100D | 98-102 cm | 118-120 cm |
| 100E | 98-102 cm | 120-122 cm |
| 105B | 103-107 cm | 119-121 cm |
| 105C | 103-107 cm | 121-123 cm |
| 105D | 103-107 cm | 123-125 cm |
| 110B | 108-112 cm | 124-126 cm |
| 110C | 108-112 cm | 126-128 cm |
| 65G | 63-67 cm | 89-91 cm |
| 65H | 63-67 cm | 91-93 cm |
| 65I | 63-67 cm | 93-95 cm |
| 70G | 68-72 cm | 94-96 cm |
| 70H | 68-72 cm | 96-98 cm |
| 70I | 68-72 cm | 98-100 cm |
| 75G | 73-77 cm | 99-101 cm |
| 75H | 73-77 cm | 101-103 cm |
| 75I | 73-77 cm | 103-105 cm |
| 80F | 78-82 cm | 102-104 cm |
| 80G | 78-82 cm | 104-106 cm |
| 80H | 78-82 cm | 106-108 cm |
| 80I | 78-82 cm | 108-110 cm |
| 85E | 83-87 cm | 105-107 cm |
| 85F | 83-87 cm | 107-109 cm |
| 85G | 83-87 cm | 109-111 cm |
| 85H | 83-87 cm | 111-113 cm |
| 90B | 88-92 cm | 104-106 cm |
| 90C | 88-92 cm | 106-108 cm |
| 90D | 88-92 cm | 108-110 cm |
| 90E | 88-92 cm | 110-112 cm |
| 90F | 88-92 cm | 112-114 cm |
| 90G | 88-92 cm | 114-116 cm |
| 95B | 93-97 cm | 109-111 cm |
| 95C | 93-97 cm | 111-113 cm |
| 95D | 93-97 cm | 113-115 cm |
| 95E | 93-97 cm | 115-117 cm |
| 95F | 93-97 cm | 117-119 cm |
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4.2 ★★★★★
Based on 10 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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