SKU: 36349220409
green tulle prom dress

green tulle prom dress Sage Green Tulle Floral Lace A-Line Prom Dress with Slit – jkprom

$24.88 $27.64
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Ships within 48 hours · Estimated delivery Aug 21 - Aug 26

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

green tulle prom dress Sage Green Tulle Floral Lace A-Line Prom Dress with Slit – jkpromProduct info Silhouette: A LineNeckline: V NeckLength: Floor Length,LongEmbellishment: Pleated,AppliqueFabric: TulleSleeve: SleevelessFully Lined: YesBuilt In Bra: YesShown Color: Sage GreenSize: General,PlusVenues: Hall. Church. Beach Destination. Garden OutdoorSeason: Spring. Summer. Fall. WinterCustomized service and Rush order are available. For custom made color. please tell us color number or name. For custom made size. please tell us below

Product info
Silhouette: A Line
Neckline:V Neck
Length: Floor Length,Long
Embellishment:Pleated,Applique
Fabric:Tulle
Sleeve:Sleeveless
Fully Lined:Yes
Built-In Bra:Yes
Shown Color:Sage Green
Size:General,Plus
Venues: Hall.Church.Beach/Destination.Garden/Outdoor
Season: Spring.Summer.Fall.Winter
Customized service and Rush order are available.

For custom-made color. please tell us color number or name. 

For custom-made size. please tell us below measurements.

Bust: ___. Waist: ___. Hips: ___. Hollow to floor(with shoes on)___. Height(with shoes on)___ 

If the dress is with shoulder or long sleeves. We also need your Shoulder Width___. Armhole___. Sleeve length___

There is a note box where you can leave us message when buy.

Processing Time:

  • Tailoring Time: 9-16 days
  • Shipping Time: 9-14 days 

For Rush Order Service:

If you need it within 16 days.there is urgent fee US $ 25.00

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 36349220409

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4.6 ★★★★★
Based on 18 reviews
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Product Reviews
D
Verified Purchase
David Escobar
Carnegie, 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
Massapequa, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Birmingham, 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
Cuba, 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
Lexington, 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

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