filtro carbon rectangular original campana bosch 00460001
SKU: 62479926343

filtro carbon rectangular original campana bosch 00460001

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Description

filtro carbon rectangular original campana bosch 00460001Dieser rechteckige Aktivkohlefilter ist ein Original Ersatzteil, das fr Dunstabzugshauben in der Kche entwickelt wurde. Seine Hauptfunktion besteht darin, die Luft zu reinigen, indem er Gerche und Fette absorbiert, wodurch die Effizienz und das Raumklima in der Kche verbessert werden. Wozu dient dieses Ersatzteil? Es beseitigt unangenehme Gerche, die beim Kochen entstehen. Es filtert Fettpartikel, um Ablagerungen im Dunstabzug zu vermeiden. Modelle:

Dieser rechteckige Aktivkohlefilter ist ein Original-Ersatzteil, das für Dunstabzugshauben in der Küche entwickelt wurde. Seine Hauptfunktion besteht darin, die Luft zu reinigen, indem er Gerüche und Fette absorbiert, wodurch die Effizienz und das Raumklima in der Küche verbessert werden.

Wozu dient dieses Ersatzteil?

  • Es beseitigt unangenehme Gerüche, die beim Kochen entstehen.
  • Es filtert Fettpartikel, um Ablagerungen im Dunstabzug zu vermeiden.
Modelle:

Dieser Kohlefilter ist mit mehreren Modellen von Dunstabzugshauben der Marken Bosch, Balay, Siemens, Constructa und Neff kompatibel. Nachfolgend listen wir einige spezifische kompatible Modelle zur leichteren Identifikation auf.

Bosch: DHL555S, DWB067A50, DWB067E50, DWB077A50, DWB077E50, DWB097A50, DWB097E50 Balay: 3BC786MX, 3BC786EX, 3BC787EX, 3BC787MX, 3BC885EX
Siemens: LZ45550, LZ45551, LZ45553, LZ45554, LZ45555, LZ45556, LZ45557 Constructa: CWB 67 A 50, CWB 67 E 50, CWB 77 A 50, CWB 77 E 50
Neff: D67C50N0, D67C50N1, D67C50N2, D67C50N3

Die Originalcodes dieses Filters lauten Bosch 00460001, 00460002, 00460478 und 00571851. Es ist wichtig, den Ersatzteilcode Ihrer Dunstabzugshaube zu überprüfen, um die Kompatibilität sicherzustellen.

Eigenschaften:
  • Teileart: rechteckiger Aktivkohlefilter für Dunstabzugshauben
  • Kompatible Marken: Bosch, Balay, Siemens, Constructa, Neff
  • Kompatible Codes: Bosch 00460001, 00460002, 00460478, 00571851
  • Material: hochwertiger Aktivkohlefilter für maximale Geruchsabsorption
  • Ungefähre Abmessungen: standardrechteckig, angepasst an die angegebenen Modelle
  • Empfohlen wird ein Wechsel alle 6–12 Monate je nach Nutzung, um die Wirksamkeit zu erhalten
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SKU: 62479926343

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David Escobar
Lowell, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
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Filipe Fernandes
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★★★★★ 5
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Reviewed in the United States on June 10, 2025
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Eddwin Paz
Lexington, 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
Pawtucket, US
★★★★★ 3
Already outdated
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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
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★★★★★ 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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