SKU: 53827884959

Kars • Semi-antique Kilim Rug (3'10"x4')

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Description

Kars • Semi-antique Kilim Rug (3'10"x4')Traditionally hand woven in Kars (Eastern Turkey) RUG DETAILS Dimensions: 3'10" x 4' Low pile: Roughly 0. 2" Material: %100 Wool (naturally dyed with roots & plants) Circa: 1940's Professionally cleaned and revived by our team in Turkey. Depending on your space, you can perfectly use this rug in your Bedroom, Kitchen, Bathroom, Entryway, or Office. CURATOR'S NOTE Rug Type: Flat woven Genre: Anatolian Kilim Rug Origin: Kars (Eastern Turkey) Hand made

Traditionally hand-woven in Kars (Eastern Turkey)

RUG DETAILS
Dimensions: 3'10" x 4'
Low pile: Roughly 0.2" 
Material: %100 Wool (naturally dyed with roots & plants)
Circa: 1940's

✔  Professionally cleaned and revived by our team in Turkey.
✔  Depending on your space, you can perfectly use this rug in your Bedroom, Kitchen, Bathroom, Entryway, or Office.

CURATOR'S NOTE
Rug Type: Flat-woven
Genre: Anatolian Kilim Rug
Origin: Kars (Eastern Turkey)

• Hand made almost NINE DECADES AGO, this is a unique example of Kars Kilims.

✔  It is especially unique for its earth tones like brown, beige, grey and contrasting orange color. 

Please feel free to contact us prior to purchase for any questions you may have.

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SKU: 53827884959

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4.9 ★★★★★
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B. Black
Fort Morgan, 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Already outdated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
Cuba, 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
Fort Morgan, 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
Los Angeles, 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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