3x Fahrradträger SAGITTAR + Relingträger CRV120NERO kompatibel mit Audi A4 Allroad (B8) 09-15
SKU: 69664217329

3x Fahrradträger SAGITTAR + Relingträger CRV120NERO kompatibel mit Audi A4 Allroad (B8) 09-15

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Description

3x Fahrradträger SAGITTAR + Relingträger CRV120NERO kompatibel mit Audi A4 Allroad (B8) 09-153x Fahrradtrger SAGITTAR + Relingtrger CRV135 kompatibel mit Audi A4 Allroad (B8) 09 15 3x Hochwertiger, bedienerfreundlicher Fahrradtrger fr den aufrechten Fahrradtransport auf dem Dach Geeignet fr alle Fahrrder bis 51 mm Reifendicke (Fullsuspension Bikes, Tourenrder, Trekkingrder, usw. Ausstattung Fahrradhalter: einfache und schnelle Montage an KFZ Dachtrgern Material: Aluminium Maximale Zuladung: 15 kg wird mit Nutsteinen an einer vorhandenen Nut

3x Fahrradträger SAGITTAR + Relingträger CRV135 kompatibel mit Audi A4 Allroad (B8) 09-15



3x Hochwertiger, bedienerfreundlicher Fahrradträger für den aufrechten Fahrradtransport auf dem Dach
Geeignet für alle Fahrräder bis 51 mm Reifendicke (Fullsuspension-Bikes, Tourenräder, Trekkingräder, usw.



Ausstattung Fahrradhalter:
einfache und schnelle Montage an KFZ-Dachträgern
Material: Aluminium
Maximale Zuladung: 15 kg
wird mit Nutsteinen an einer vorhandenen Nut des Querträgers oder mittels U-Bügel fixiert
spezielle Haltevorrichtung für Fahrradgabeln
Farbe: schwarz (Stange), schwarz (Befestigungen)
geeignet für Rahmendurchmesser: 15-65 mm (rund); 60-100 mm (oval)
abschließbar

Ausstattung Dachträger:
Material: Aluminium (Stangen), Kunststoff (Füße)
Maße: 1350 x 50 x 25 mm (L x B x H)


Lieferumfang:
3x Fahrradträger
2 Dachträgerstangen mit allen Befestigungsteilen
inkl. Montageanleitung

verwendbar für:
Fahrzeug: kompatibel mit Audi
Modell: A4 Allroad (B8)
Baujahr: 09-15

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SKU: 69664217329

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4.6 ★★★★★
Based on 495 reviews
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Product Reviews
D
Verified Purchase
David Escobar
Birmingham, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
Verified Purchase
Filipe Fernandes
Draper, 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
Verified Purchase
Eddwin Paz
Louisville, 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
Boise, 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
Fort Morgan, 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

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