dresses white Summertime Chic: Women's Lace Splice Spaghetti Strap White Dress
SKU: 95469249919
dresses white

dresses white Summertime Chic: Women's Lace Splice Spaghetti Strap White Dress

Sale price$19.48 Regular price$21.64
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Size: 4

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Description

dresses white Summertime Chic: Women's Lace Splice Spaghetti Strap White DressMaximize your summer style with our Summertime Chic dress! Featuring delicate lace splicing and adjustable spaghetti straps, this white dress is perfect for any occasion. Stay cool and fashionable in this must have piece. Color : White Style : Sexy, Boho Details : Contrast Lace, Backless, Appliques Type : Cami Pattern Type : Plain Sleeve Length : Sleeveless Neckline : Spaghetti Strap Waist Line : High Waist Hem Shaped : Flared Length : Short Fit Type

Maximize your summer style with our Summertime Chic dress! Featuring delicate lace splicing and adjustable spaghetti straps, this white dress is perfect for any occasion. Stay cool and fashionable in this must-have piece.

Color : White

Style : Sexy, Boho

Details : Contrast Lace, Backless, Appliques

Type : Cami

Pattern Type : Plain

Sleeve Length : Sleeveless

Neckline : Spaghetti Strap

Waist Line : High Waist

Hem Shaped : Flared

Length : Short

Fit Type : Regular Fit

Fabric : Non-Stretch

Material : Fabric

Composition : 95% Polyester, 5% Elastane

Care Instructions : Machine wash or professional dry clean

Sheer : No

Size US Bust Length Waist Size
XS 2 78 87 64-92
S 4 82 89 68-96
M 6 86 91 72-100
L 8/10 92 93 78-106
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SKU: 95469249919

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B. Black
Carnegie, 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Already outdated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
Houston, 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
Charlottesville, 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.
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Reviewed in the United States on April 11, 2025
L
Lydia O
Waukegan, 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
Houston, 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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