SKU: 31035760157

FSR RFL4.5-Q1G-GRYDD Carpet Trim Cover- Dual Door- 4.69" Deep Floor Box (Gray)

$35799.75 $39777.50
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Description

FSR RFL4.5-Q1G-GRYDD Carpet Trim Cover- Dual Door- 4.69" Deep Floor Box (Gray)4 x 1 Gang Plates The FSR RFL4. 5 Q1G GRYDD Carpet Trim Cover Dual Door 4. 69" Deep Floor Box (Gray) is ideal for high traffic environments with its 14 gauge steel construction and 0. 188" steel cover. This double door floor box has 4 single gang plates with multiple knockouts in a variety of sizes. Patented epoxy wrinkle powder finish 14 gauge steel construction Oversize cable doors Large multi compartment boxes for power, audio, video, data and more

  • 4 x 1 Gang Plates

The FSR RFL4.5-Q1G-GRYDD Carpet Trim Cover - Dual Door - 4.69" Deep Floor Box (Gray) is ideal for high traffic environments with its 14-gauge steel construction and 0.188" steel cover. This double door floor box has 4 single gang plates with multiple knockouts in a variety of sizes.

Patented epoxy wrinkle powder finish
14-gauge steel construction
Oversize cable doors
Large multi-compartment boxes for power, audio, video, data and more
Multiple knockouts in a variety of sizes
Depth 4.69" (11.91cm)
Dimensions Cover: 10.91 x 12.16" (27.71 x 30.89mm)
Finish Gray trim
All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
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SKU: 31035760157

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4.3 ★★★★★
Based on 10 reviews
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Verified Purchase
B. Black
San Leandro, 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Already outdated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
Lowell, 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
Phoenix, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2025
L
Lydia O
Waukegan, 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
Dallas, 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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