SKU: 87292992481

Netline Home Red Burgundy Orange Terracotta Classic Vintage Machine Washable Chenille Rug Design NH7130

Sale price$63.00 Regular price$70.00
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Description

Netline Home Red Burgundy Orange Terracotta Classic Vintage Machine Washable Chenille Rug Design NH7130Netline Home Machine washable chenille rug Made to order Netline Home Red Burgundy Orange Terracotta Classic Vintage Machine Washable Chenille Rug Design NH7130 Netline Home Red Burgundy Orange Terracotta Classic Vintage Machine Washable Chenille Rug Design NH7130 is a made to order rug listing from Netline Home, created for customers who want a refined machine washable chenille rug with a warm kilim character, practical everyday comfort, and a

Netline Home · Machine washable chenille rug · Made to order

Netline Home Red Burgundy Orange Terracotta Classic Vintage Machine Washable Chenille Rug Design NH7130

Netline Home Red Burgundy Orange Terracotta Classic Vintage Machine Washable Chenille Rug Design NH7130 is a made-to-order rug listing from Netline Home, created for customers who want a refined machine washable chenille rug with a warm kilim character, practical everyday comfort, and a polished interior-design look. This design belongs to the Netline Lacasa collection and is prepared as a flexible Shopify product listing with size variants, searchable product data, image-based content, and clear room-use language. The product is presented as a Classic Vintage style in Red Burgundy Orange Terracotta colors, with a clean design code for easier ordering and after-sales support.

DesignNH7130
StyleClassic Vintage
ColoursRed Burgundy Orange Terracotta

Clean, practical rug design

Netline Home Red Burgundy Orange Terracotta Classic Vintage Machine Washable Chenille Rug Design NH7130 is designed for calm, modern homes that need a rug with texture, pattern and everyday usability. The chenille surface gives a soft feel underfoot, while the low-profile kilim character keeps the design neat beneath furniture. It works well in living rooms, bedrooms, dining areas, kitchens, hallways and compact apartments where a rug needs to add warmth without making the room feel crowded.

  • Machine washable construction for easier care in active homes.
  • Soft chenille texture with a low-profile kilim look.
  • Curated for the Netline Lacasa collection by Netline Home.
  • Available sizes: 100x200 cm, 120x180 cm, 155x230 cm, 200x300 cm, 60x90 cm, 80x150 cm, 80x300 cm.
  • Design code: NH7130.

Sizes, packing and weight

Size, packing volume and weight

Size Packing volume Weight
60x90 cm 31x31x4 cm 0.86 kg
80x150 cm 41x41x6 cm 1.86 kg
80x300 cm 41x41x8 cm 3.8 kg
100x200 cm 50x34x7 cm 3 kg
120x180 cm 41x46x6 cm 3.36 kg
155x230 cm 55x52x6 cm 5.6 kg
200x300 cm 53x58x10 cm 9 kg

How to use it

This rug is a versatile foundation piece for UK interiors. In a living room, it can sit beneath the front legs of a sofa to connect the seating area. In a bedroom, it adds softness around the bed and helps the room feel finished. In a hallway or kitchen, the washable construction and slim profile make it suitable for spaces that need comfort, pattern and easier care. The Red Burgundy Orange Terracotta palette gives the design a clear visual identity, while the Classic Vintage styling makes it easy to coordinate with wood, linen, stone, metal, neutral upholstery and layered lighting.

Care and ordering notes

All rugs in this listing are machine washable. Use a gentle cycle where suitable for your machine capacity, avoid harsh bleach, and allow the rug to dry fully before placing it back on the floor. For daily care, shake out loose dust, vacuum gently, and treat spills promptly. Each size variant includes packing volume and weight information to make storage, handling and fulfilment easier.

Producer reference: 3023-03. This reference is for production organization only.

Netline Home Red Burgundy Orange Terracotta Classic Vintage Machine Washable Chenille Rug Design NH7130 can be styled as a quiet anchor or as the patterned focus of the room. Choose smaller sizes for bedside areas, compact seating corners and layered entries. Choose larger sizes when you want to connect sofas, coffee tables, dining furniture or open-plan spaces. The boxed information above is designed to keep the buying decision simple: design code, style, colours, sizes, packing volume and weight are all visible without clutter.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 87292992481

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Jason Bolton
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★★★★★ 5
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Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
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This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
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Reviewed in the United States on June 25, 2024
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★★★★★ 4
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Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024
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K. Wain
Alexandria, US
★★★★★ 3
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