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Description
LPD Knightsbridge Black Primed Clear Glazed Internal Door - 1981 x 838mmThe Knightsbridge 1L Primed Plus Black Door is a stunning addition to any traditional interior. With a face type of Primed Plus Black and a clear bevelled glazing, this door is sure to make a statement in any room. The finish is primed and the colour is black, making it easy to customize to your desired look. This internal door has a thickness of 35mm, a width of 838mm, and a height of 1981mm. The solid engineered core ensures durability and
The Knightsbridge 1L Primed Plus Black Door is a stunning addition to any traditional interior. With a face type of Primed Plus Black and a clear bevelled glazing, this door is sure to make a statement in any room. The finish is primed and the colour is black, making it easy to customize to your desired look. This internal door has a thickness of 35mm, a width of 838mm, and a height of 1981mm. The solid engineered core ensures durability and longevity. The lipping framing long edge is 20mm, and the FSC70 certification guarantees that this door is made from responsibly sourced materials.The Knightsbridge 1L Primed Plus Black Door is part of the Knightsbridge family and features a traditional style that is sure to impress. The door is designed with a single clear bevelled glazing, adding a touch of elegance to any room. The primed finish allows for easy customization, while the black colour adds a touch of sophistication. This door is perfect for any traditional interior and is sure to make a statement in your home.
This door is not only stylish but also durable. The solid engineered core ensures that it will last for years to come. The door is 35mm thick and has a lipping framing long edge of 20mm. The FSC70 certification guarantees that this door is made from responsibly sourced materials. This door is not fire-resistant and does not have a fire rating.
Key Features:
- Face Type: Primed Plus Black
- Door Style: Knightsbridge 1L Primed Plus Black
- Glazing Info: Clear Bevelled
- Finish: Primed
- Colour: Black
- Style: Traditional
- Door Type: Internal Door
- Thickness: 35mm
- Width: 838mm
- Height: 1981mm
- Weight: 30kg
- Fire Resistant: No
- Fire Rating: N/A
- Core Type: Solid Engineered
- Lipping Framing Long Edge: 20mm
- F Certification: FSC70
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4.5 ★★★★★
Based on 29 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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