Home Republic Tartan Check Beige Floor Rug
SKU: 65792119833

Home Republic Tartan Check Beige Floor Rug

$10.75 $11.95
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Ships within 48 hours · Estimated delivery Jul 4 - Jul 9

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Description

Home Republic Tartan Check Beige Floor RugElevate your home decor with our Home Republic Tartan Check Beige Floor Rug, designed to add the perfect blend of geometric and contemporary patterns to any room. The use of high durability polypropylene fibres ensures this beige indoor rug is perfect for everyday use, adding a touch of sophistication to any space. Available in different sizes, this beige check rug comes with a durable high quality non slip backing suitable for all floor types. To

Elevate your home decor with our Home Republic Tartan Check Beige Floor Rug, designed to add the perfect blend of geometric and contemporary patterns to any room.

The use of high-durability polypropylene fibres ensures this beige indoor rug is perfect for everyday use, adding a touch of sophistication to any space. Available in different sizes, this beige check rug comes with a durable high-quality non-slip backing suitable for all floor types.

To avoid wrinkles and curling, re-roll your rug with the pile facing out and leave it in a warm room for 24 hours before placing it in your desired location. Be sure to cut any loose threads carefully with scissors instead of pulling them.

To maintain the quality and appearance of your rug, turn it regularly to ensure even wear and reduce pressure marks from furniture. Professional cleaning is recommended, and regular vacuuming is essential. For spot cleaning, use a mild, clear detergent and lukewarm water, and always blot any spills instead of rubbing them. Remove moisture as quickly as possible to prevent damage.

[shortcode][delivery-estimate]Within 3 working days[/delivery-estimate][shop-more]Rugs Geometric Rugs[/shop-more][tabs] [item][item-title]Features[/item-title][item-content]

Type Rug
Brand Home Republic
Material Polypropylene
Special Feature
 Stain Resistant, Non Slip
Room Type

Bedroom, Living Room,

Dining Room, Nursery Room
Sizes

60 x 110cm, 80 x 150cm

120 x 170cm, 160 x 230 cm

200 x 290cm, 240 x 330cm
Pack Includes One Rug

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Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 65792119833

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4.1 ★★★★★
Based on 505 reviews
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Sarah Allen
Natrona Heights, US
★★★★★ 5
Get to the safest place in a building- The Basement
Format: Hardcover, Format: Hardcover
This book is a simple and poignant call to arms- or should I say, call to open our arms- for ALL followers of Christ. Take Tim Ross' hand and let him lead you through the acceptance and vulnerability of what it means to be a disciple. It shines the light on the reality of our brokenness and gives us real life examples of how to flip things on their heads to bring our pieces to the only one who can truly mend us.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2024
K
Verified Purchase
Karen H.
Pawtucket, US
★★★★★ 5
The Basement is a Safe Place
Format: Hardcover
The Basement by Tim Ross is a book full of Bible, insight, and words of wisdom that only Tim Ross and the Holy Spirit can provide. Each page has tips for everyday living and how you too can upset the world with the message of love and hope of Jesus Christ. Read the book and join the Dwellers in the basement for a whole new perspective on life with Jesus.
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Reviewed in the United States on February 27, 2024
P
Paul Pollock
Whiting, US
★★★★★ 5
Your Blueprint for Building Smarter AI!
Format: Paperback
If you're building AI and sometimes feel a bit lost, "LLM Design Patterns" by Ken Huang is like finding the secret map you've been searching for. Ken Huang, who clearly knows his stuff (he's a renowned AI expert and works with big names like OWASP and NIST), writes in a way that just clicks, without getting bogged down in super-dense tech talk. The author even acknowledges using AI to make the language clearer for a smooth reading experience! This book covers everything you need, from getting your data squeaky clean to making AI agents that can actually think and act autonomously. For me, the parts on Retrieval-Augmented Generation (RAG) and advanced ways to 'talk' to your AI (prompting) were particularly eye-opening and immediately useful for my projects. Plus, it has handy code snippets that really help you grasp the ideas. While they're not ready for direct production copy-pasting, they illustrate the concepts perfectly for learning. It's not for absolute beginners – you'll want some basic Python and machine learning smarts to get the most out of it – but the effort is totally worth it. It even delves into making sure your AI is fair and unbiased, which was a real lightbulb moment for me. This book is crammed with actionable advice; it's less about abstract theory and more about real-world solutions you can actually use. If you're serious about building impressive AI systems professionally, this is a must-read.
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Reviewed in the United States on August 7, 2025
A
Allen Wyma
Phoenix, US
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
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Reviewed in the United States on August 26, 2025
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Om S
Bozeman, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
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Reviewed in the United States on July 25, 2025

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