SKU: 99479026771

FRONT RUNNER - Land Rover Defender 110 (1983-2016) Slimline II Roof Rack Kit / Tall

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Description

FRONT RUNNER - Land Rover Defender 110 (1983-2016) Slimline II Roof Rack Kit / TallThis 2772mm 109" long full size Slimline II cargo carrying roof rack kit for the Land Rover Defender 110 contains Slimline II Tray and Wind Deflector, as well as 8 Gutter Mount legs for mounting the Tray to the vehicle. This taller kit has space for mounting the Front Runner tables or other compatible accessories under the rack. It installs easily with no drilling required. This 2772mm 109" long full size Slimline II cargo carrying roof rack kit for

This 2772mm/109" long full-size Slimline II cargo carrying roof rack kit for the Land Rover Defender 110 contains Slimline II Tray and Wind Deflector, as well as 8 Gutter Mount legs for mounting the Tray to the vehicle. This taller kit has space for mounting the Front Runner tables or other compatible accessories under the rack. It installs easily with no drilling required.

This 2772mm/109" long full-size Slimline II cargo carrying roof rack kit for the Land Rover Defender 110 contains Slimline II Tray and Wind Deflector, as well as 8 Gutter Mount legs for mounting the Tray to the vehicle. This taller kit has space for mounting the Front Runner tables or other compatible accessories under the rack. It installs easily with no drilling required.

All Front Runner Rack Kits contain installation instructions as well as all the components needed to mount the Slimline II Tray to your vehicle.

PLEASE NOTE: The NAS roll cage on some Land Rover Defenders may interfere with the positing of the gutter mount legs. If you have a NAS roll cage on your Defender, please contact us before you make your purchase.

Consisting of:
4 x LASS108 - No 8 Leg 250mm (Pair) - by Front Runner
1 x RRSTJ14 - Slimline II Tray - 1425mm(W) X 2772mm(L) - by Front Runner

Material used:
Black epoxy powder-coated T6 aluminium
3CR12 Stainless Steel


Approximate Installed Weight 42kg (93lbs)

The t-slots on the tops and bottoms of the rack tray slats and edge profiles accommodate standard 8mm bolts.

To determine the approximate height from your vehicle’s roof to the top of your Slimline II Roof Rack, add the height of the Slimline II Tray (50mm/ 2") to the height of the Foot, Grab-on Foot or Strap-On Foot listed above.

If your Slimline II Roof Rack kit uses Legs, add the height of the Slimline II Tray (50mm/ 2") to the height of the Legs to determine the height of the rack from your vehicle’s rain gutters.

If your Slimline II Roof Rack kit uses Foot Rails, add the height of the Slimline II Tray (50mm/ 2") to the height of the Foot Rails to determine the height of the rack from the crown (highest point) of the vehicles roof.

Installation Instructions:LAND ROVER DEFENDER 110 TALL SLIMLINE ii RACK

Installation InstructionsLEG ASSEMBLY

Installation Instructions: SLIMLINE II TRAY UNIVERSAL ASSEMBLY

Shipping Dimensions:

Width 450mm (18")
Length 1615mm (64")
Height 140mm (6")

Shipping Weight:

Weight 49.0kg (107.8lbs)

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SKU: 99479026771

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Filipe Fernandes
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★★★★★ 5
Great book
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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
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Eddwin Paz
Draper, US
★★★★★ 5
proper documentation from langchain
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Reviewed in the United States on April 19, 2025
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B. Black
Alexandria, 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
Port Orchard, US
★★★★★ 5
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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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Tom C Taulli
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★★★★★ 5
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Reviewed in the United States on April 11, 2025

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