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Description
Furhaven Orthopedic Dog Bed for Large Dogs w/ Removable Bolsters & Washable Cover, For Dogs Up to 95 lbs - Faux Fur & Velvet Sofa - Smoke Gray, Jumbo/XLAbout This COMFORT AS PRIORITY: The sofa style design creates a cozy and inviting space that promotes comfort and security; designed with supportive bolsters for dogs to rest their heads on for optimum lounging comfort SLEEP SURFACE: Featuring a soft and downy faux fur main sleep surface and bolsters wrapped in smooth micro velvet; both are gentle on noses and paws for enhanced snuggling and burrowing comfort EASY ON JOINTS: The egg crate orthopedic
About This
- COMFORT AS PRIORITY: The sofa-style design creates a cozy and inviting space that promotes comfort and security; designed with supportive bolsters for dogs to rest their heads on for optimum lounging comfort
- SLEEP SURFACE: Featuring a soft and downy faux fur main sleep surface and bolsters wrapped in smooth micro velvet; both are gentle on noses and paws for enhanced snuggling and burrowing comfort
- EASY ON JOINTS: The egg crate orthopedic foam base helps cushion pressure points and improve air circulation, while fluff-filled bolsters support the neck, back, hips, and joints; helps ease discomfort and promote restful sleep
- CUSTOMER ASSURANCE: Comes with a 90-Day Limited Coverage against material defects and may also qualify for our 60-Day Worry-Free Program; restrictions apply: purchases from unauthorized 3rd party resellers may not be covered by Furhaven
- PRODUCT DETAILS: Orthopedic Dog Bed, Smoke Gray; Jumbo - 44" x 35" x 8" (4" Base Foam Height; Sleep Surface: Approx. 30" x 27")
- CERTIPUR-US: Our foam is 100% manufactured in the USA and independently tested to meet CertiPUR-US standards for emissions, content, and durability; made WITHOUT formaldehyde, phthalates, mercury, lead, and ozone depleters
- IMPORTANT: Not suitable for pets with excessive teething or destructive chewing behavior
- EASY CARE: The dog bed cover is completely machine washable and is easily removed with a two zipper design that allows access to the foam base and bolsters; for more specific care instructions, please refer to the hang tag and/or seam label
Overview
- Brand : Furhaven
- Breed Recommendation : All Breed Sizes
- Special Feature : Cooling, Orthopedic, Washable, Removable Cover
- Material : Faux Fur, Polyester, Velvet
- Product Dimensions : 44"L x 35"W x 8"Th
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
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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
4.0 ★★★★★
Based on 1632 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on July 17, 2025