SKU: 57613211807

LPD Kent White Composite Glazed Internal Door 78in x 27in x 35mm (1981 x 686mm)

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Description

LPD Kent White Composite Glazed Internal Door 78in x 27in x 35mm (1981 x 686mm)The Kent 6L Primed White Doors 686 x 1981 are a perfect addition to any traditional home. These internal doors are part of the Kent family and feature a Primed White FaceType. The DoorStyle is also Kent Internal White Primed, which adds to the traditional look. The GlazingInfo is Clear Bevelled, which adds a touch of elegance to the doors. The Finish is Primed, and the Colour is White. These doors are perfect for those who want to add a traditional

The Kent 6L Primed White Doors 686 x 1981 are a perfect addition to any traditional home. These internal doors are part of the Kent family and feature a Primed White FaceType. The DoorStyle is also Kent Internal White Primed, which adds to the traditional look. The GlazingInfo is Clear Bevelled, which adds a touch of elegance to the doors. The Finish is Primed, and the Colour is White. These doors are perfect for those who want to add a traditional touch to their home.

The Kent 6L Primed White Doors 686 x 1981 are Internal Doors that are perfect for any room in the house. The doors have a thickness of 35mm, a Width of 686mm, and a Height of 1981mm. The weight of the doors is 22kg, which makes them easy to install. The CoreType is Solid Engineered, which makes the doors sturdy and durable. The Lipping_framing_long_Edge is 20mm, which adds to the strength of the doors. The F_Certification is FSC70, which means that the doors are made from sustainable materials.

The Kent 6L Primed White Doors 686 x 1981 are not Fire_Resistant, and they do not have a Fire_Rating. However, they are perfect for those who want to add a traditional touch to their home. These doors are easy to install and are made from sustainable materials. They are perfect for any room in the house and are sure to add a touch of elegance to any home.

Key Features:

  • Family: Kent
  • FaceType: Primed White
  • DoorStyle: Kent Internal White Primed
  • GlazingInfo: Clear Bevelled
  • Finish: Primed
  • Colour: White
  • Style: Traditional
  • DoorType: Internal Door
  • Thickness: 35mm
  • Width: 686mm
  • Height: 1981mm
  • Weight: 22kg
  • Fire_Resistant: No
  • Fire_Rating: N/A
  • CoreType: Solid Engineered
  • Lipping_framing_long_Edge: 20mm
  • F_Certification: FSC70
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SKU: 57613211807

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B. Black
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★★★★★ 3
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Concepts are sound but the code in this book is already obsolete
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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
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Omaha, US
★★★★★ 5
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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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Lydia O
Dallas, 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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Jacob Lee
San Leandro, US
★★★★★ 5
Fantastic!
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A great primer on getting started with LangChain concepts!
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Reviewed in the United States on April 10, 2025

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