SKU: 40539663739

harley davidson parts hd4 67800356

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Description

harley davidson parts hd4 67800356KIT RCKLICHT,SMKD,R W LED,W LP Layback LED Rckleuchte 67800356 Dieses Layback LED Rcklicht ist so geformt, dass es die Kontur des hinteren Kotflgels widerspiegelt, und vereint Stil und Leistung in einem. Mit einer Reihe schnell reagierender roter LED Lampen, die in einem Gittermuster angeordnet sind, stellt dieses helle Lauflicht herkmmliche Glhlampen in den Schatten. Und wenn Sie auf die Bremse treten, werden Sie jedermanns Aufmerksamkeit erregen.

KIT-RÜCKLICHT,SMKD,R/W LED,W/LP

Layback LED-Rückleuchte 67800356


Dieses Layback-LED-Rücklicht ist so geformt, dass es die Kontur des hinteren Kotflügels widerspiegelt, und vereint Stil und Leistung in einem. Mit einer Reihe schnell reagierender roter LED-Lampen, die in einem Gittermuster angeordnet sind, stellt dieses helle Lauflicht herkömmliche Glühlampen in den Schatten. Und wenn Sie auf die Bremse treten, werden Sie jedermanns Aufmerksamkeit erregen. - Getönte Linse mit klarer Kennzeichenleuchte - Die komplette Rückleuchtenbaugruppe verfügt über eine einfache Steckverbindung zum Original-Kabelbaum. - Lampe erfüllt DOT-Anforderungen


Passend für XL ab 99 (außer XL883N, XL1200CX, XL1200N, Xl1200NS, XL1200V, XL1200X, XL1200XS und XL1200C ab 11), FXDL 99-'17, FXLR, FLHC und FLHCS ab '18, FXST, FXSTB, FXSTC und FXSTS 03-'17, FLST, FLSTC, FLSTF, FLSTFB, FLSTFBS und FLSTSB 00-'17, FLHRC, FLHTC, FLHTCU, FLHTK und FLTRU ab 09 und Touring-Modelle 99-08 (außer FLHX, '05 FLHTCSE, '07-'08 FLHRSE und Modelle mit Kennzeichenverlegungskit P/N 53702-04). Passt auch auf FXLRST DOM/CAN ab '22. Passt nicht auf Modelle mit Bobtail-Kotflügeln.

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SKU: 40539663739

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4.7 ★★★★★
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B. Black
Phoenix, 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Already outdated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
Port Orchard, 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
Chelsea, 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
L
Lydia O
Louisville, US
★★★★★ 5
Useful resource!
Format: Paperback
I found this book well written and extremely useful for getting comfortable with LLMs for building AI apps in production and other agent driven applications.
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Reviewed in the United States on April 10, 2025
J
Jacob Lee
Pawtucket, US
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 10, 2025

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