SKU: 4545586263
black and white embroidered dress

black and white embroidered dress Cinq A Sept Women's Paisley Bloom Embroidered Dress - Blue - Size 12

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Description

black and white embroidered dress Cinq A Sept Women's Paisley Bloom Embroidered Dress - Blue - Size 12The Paisley Bloom Embroidered Dama Dress features delicate paisley embroidery along the neckline and hem, a fitted bodice, and a softly flared midi skirt. Finished with thin shoulder straps, its the perfect piece for all your summer events. Details Concealed back zipper Adjustable shoulder straps Embroidery details Midi length Content & Care Fabric: Poplin Cotton 100% Dry Clean Only Imported Measurements 45 1 2in from shoulder Measurement from size 4

The Paisley Bloom Embroidered Dama Dress features delicate paisley embroidery along the neckline and hem, a fitted bodice, and a softly flared midi skirt. Finished with thin shoulder straps, it’s the perfect piece for all your summer events.

Details

Concealed back zipper
Adjustable shoulder straps
Embroidery details
Midi length

Content & Care

Fabric: Poplin
Cotton 100%
Dry Clean Only
Imported

Measurements

45 1/2in from shoulder
Measurement from size 4

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SKU: 4545586263

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4.5 ★★★★★
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E
Verified Purchase
Eddwin Paz
Dallas, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 19, 2025
B
Verified Purchase
B. Black
Chelsea, 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Already outdated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
Whiting, 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
Battle Creek, 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
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

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