SKU: 47822193839
powder blue dresses for women

powder blue dresses for women Powder Blue Square Neck Tiered Dress XL

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Description

powder blue dresses for women Powder Blue Square Neck Tiered Dress XLBlue flowy mulmul dress has a square neck, three tiers for that breezy vibe, sweet gathers, and trendy balloon sleeves. This mulmul beauty brings the chill and stylish feels, perfect for cool and comfy look. Product Code : JICDR1821019 Material : Mulmul Length : Length 48 Color : Sky Blue Order processing time : 7 10 working days DELIVERY Please note that our handmade articles take a little extra love and care, and hence, will be dispatched in 7 10

 Blue flowy mulmul dress has a square neck, three tiers for that breezy vibe, sweet gathers, and trendy balloon sleeves. This mulmul beauty brings the chill and stylish feels, perfect for cool and comfy look.

Product Code : JICDR1821019
Material : Mulmul
Length : Length-48
Color : Sky Blue
Order processing time : 7-10 working days

Please note that our handmade articles take a little extra love and care, and hence, will be dispatched in 7-10 working days. Embrace the charm of slight differences, as each piece is crafted by hand, adding a personal touch. Unlike machine-made items, this imperfection is a testament to the artisan's touch. Thank you for your patience and appreciation for the artistry!

TOP WEAR
Sizes (inches) XS S M L XL 2XL 3XL
CHEST (body fit piece) 34 36 38 40 42 44 46
WAIST 32 34 36 38 40 42 44
HIP (with pocket) 36 38 40 42 44 46 48
HIP (without pocket) 34 36 38 40 42 44 46
SHOULDERS 13.5 14 14.5 15 15.5 16 16.5
BOTTOM WEAR
Sizes (inches) XS S M L XL 2XL 3XL
WAIST 30-34 30-34 30-34 32-36 32-36 34-38 34-38
LENGTH (pants) 37 37 37 38 38 39 39
THIGH (pants) 26 26 26 28 28 30 30
THIGH (palazzo) 28 28 28 30 30 32 32

JOVI Ventures Private Limited,
Jaipur, Rajasthan, INDIA.
GSTIN : 08AADCJ5173F1ZK
IEC : AADCJ5173F

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SKU: 47822193839

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4.5 ★★★★★
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Verified Purchase
David Escobar
Los Angeles, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
Verified Purchase
Filipe Fernandes
Cuba, US
★★★★★ 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
E
Verified Purchase
Eddwin Paz
Lowell, US
★★★★★ 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
B
Verified Purchase
B. Black
New York, US
★★★★★ 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
J
Joe Faith
Bozeman, 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.
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Reviewed in the United States on July 17, 2025

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