Anjoux Collection Three-Light Silver Ridge Clear Water Glass Luxe Bath Vanity Light
SKU: 9745852303

Anjoux Collection Three-Light Silver Ridge Clear Water Glass Luxe Bath Vanity Light

Sale price$171.01 Regular price$190.01
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Description

Anjoux Collection Three-Light Silver Ridge Clear Water Glass Luxe Bath Vanity LightFinish Silver Ridge Category Bath & Vanity Style Luxe; New Traditional; Traditional; Transitional Option Damp Rated, Title 20 Family Anjoux Glass Clear Water Voltage 120 Number of Bulbs 3 Backplate Height(in) 8. 13 Backplate Width(in) 5. 00 Bulb Type A19 Depth 7. 00 Height To Center of Outlet(in) 5. 00 Introduction Date 01 16 2017 Length(in) 23. 00 Material Steel Ship Carton Height(in) 13. 50 Ship Carton Length(in) 24. 00 Ship Carton Width(in) 9. 75

Finish Silver Ridge
Category Bath & Vanity
Style Luxe;New Traditional;Traditional;Transitional
Option Damp Rated, Title 20
Family Anjoux
Glass Clear Water
Voltage 120
Number of Bulbs 3
Backplate Height(in) 8.13
Backplate Width(in) 5.00
Bulb Type A19
Depth 7.00
Height To Center of Outlet(in) 5.00
Introduction Date 01/16/2017
Length(in) 23.00
Material Steel
Ship Carton Height(in) 13.50
Ship Carton Length(in) 24.00
Ship Carton Width(in) 9.75
Ship Weight(lbs) 6.52
Vendor Ship Method Non UPS Shippable False
Warranty 1-year Limited
Weight(lbs) 6.49
Wire Included 6 in
Americans with Disabilities Act No
Backplate Depth 1.00
Bulb Base E26
Bulb Included No
Can be Mounted Up or Down Yes
Canopy Shape Rectangular
Certified Listed Location Damp Location Listed
Construction Material Main Part Construction
Country of Origin CN
Dark Sky No
Design Series No
Energy Efficient No
Energy Star No
Finish Type Painted
Glass Depth 5
Glass Height(in) 5.375
Glass Shape Shade
Glass Width(in) 5
JA8 No
Lamp Type Actual A19
Lamp Type Basic Incandescent
Lamp Wattage 100
Lens Shade Material Glass
Mount Location Wall
MTO No
Prop 65 Yes
Prop 65 Description Reproductive Harm, Cancer
Room Type Bathroom
Safety Rating cULus
Title 20 Yes
Title 24 No
Weight of Fixture Exceeds NEC Limits(lbs) No
Width Diameter(in) 23 in Depth
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Exchange/Return Notes
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SKU: 9745852303

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4.0 ★★★★★
Based on 491 reviews
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D
Verified Purchase
David Escobar
Los Angeles, 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
Birmingham, 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
Fort Morgan, 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
B
Verified Purchase
B. Black
Belleville, 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
Carnegie, 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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