SKU: 32625371355
yellow dress babyboo

yellow dress babyboo Yellow Maxi Dress - Indianna Maxi Dress - Lemon

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Description

yellow dress babyboo Yellow Maxi Dress - Indianna Maxi Dress - LemonThe Indianna Maxi Dress in lemon chiffon features a deep plunging neckline and a statement orchid brooch with beaded chains at the waist. Its dropped waist and full gathered skirt create elegant movement, while the backless design with crossover tie straps adds a refined, sophisticated touch. Colour: Lemon. Chiffon. Detachable orchid brooch on centre front. Brooch included. Detachable beaded chains on waist. Fully lined. Deep, plunge neckline. High

The Indianna Maxi Dress in lemon chiffon features a deep plunging neckline and a statement orchid brooch with beaded chains at the waist. Its dropped waist and full gathered skirt create elegant movement, while the backless design with crossover tie straps adds a refined, sophisticated touch.

  • Colour: Lemon.
  • Chiffon. 
  • Detachable orchid brooch on centre front.
  • Brooch included.
  • Detachable beaded chains on waist.
  • Fully lined.
  • Deep, plunge neckline.
  • High apex.
  • Backless with crossover back straps.
  • Full skirt, gathered into waist seam.
  • Thigh high split.
  • Invisible zipper closure with hook & eye.
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SKU: 32625371355

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4.1 ★★★★★
Based on 20 reviews
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F
Verified Purchase
Filipe Fernandes
Omaha, 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
Phoenix, 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
Battle Creek, 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Already outdated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
San Leandro, 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
T
Tom C Taulli
Draper, 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

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