SKU: 60776951534

MOTO TORQUE SADDLE STAY GUERRILLA 450

Sale price$1665.00 Regular price$1850.00
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Description

MOTO TORQUE SADDLE STAY GUERRILLA 450Description Made For Royal Enfield GUERRILLA 450 "Product Includes: Saddle Stay 1 set Exclusions: Back Carrier (not included, available for separate purchase) Material Made with Rigid Mild Steel of 19 mm Diameter tubes, with suitable thickness for of 1. 6 mm wall thickness for the light weight yet strong saddle stay. Cold Rolled (CR) Tubes are used for strength & high durability to withstand impact during abrasion. All nuts and bolts are of Stainless

Description

Made For Royal Enfield GUERRILLA 450

"Product Includes:

- Saddle Stay - 1 set

Exclusions:

- Back Carrier (not included, available for separate purchase)

 

Material

Made with Rigid Mild Steel of 19 mm Diameter tubes, with suitable thickness for  of 1.6 mm wall thickness for the light weight yet strong saddle stay.

Cold Rolled (CR) Tubes are used for strength & high durability to withstand impact during abrasion.

All nuts and bolts are of Stainless Steel 304 grade that comes with a lifetime warranty.

MIG (Metal Inert Gas) Welding and TIG (Tungsten inert gas) welding technology is used for connecting the crucial parts for great strength accordingly.

Grid blasting technology was used before the Powder coating process for a uniform finish.

Automated CNC machines are used to bend the tubes for Precision & formation of the Saddle stay.

DESIGN & PRODUCT OUTLOOK

High-quality Rigid material is used to design the Saddle stay to support your saddle bag during your adventure tour.

Designed to hold the saddlebag without impacting the balance of the bike while carrying heavy luggage.

The lower stays that takes the weight of the saddle bags are removable, so that the rider can have it or remove it according to their need of the ride.

TOOLS REQUIRED

Alan key –  5&6mm

Spanner –  10&13 No.

WARRANTY

6 Months Paint/Powder Coating warranty.

Lifetime warranty on Bolts & Nuts.

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SKU: 60776951534

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4.1 ★★★★★
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Verified Purchase
David Escobar
Phoenix, 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
Grantham, 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
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Eddwin Paz
Louisville, 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
New York, US
★★★★★ 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
J
Joe Faith
Chelsea, 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.
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Reviewed in the United States on July 17, 2025

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