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La Rosa 48-Inch x 28-Inch Stainless Steel Utility Stand Dry-Drawer BaseLa Rosa 48 Inch x 28 Inch Stainless Steel Utility Stand Dry Drawer Base 16 Gauge Top, Rear Splash, 2 Dry Drawers, 8 Inch Legs A heavy duty utility stand that combines durable stainless construction with built in dry drawer storage and a rear splash for busy commercial kitchens. 48" x 28" footprint provides a compact but useful work and storage base. 304 stainless steel construction with a 16 gauge top for durability. Intermediate shelf over two dry
La Rosa 48-Inch x 28-Inch Stainless Steel Utility Stand Dry-Drawer Base
16-Gauge Top, Rear Splash, 2 Dry Drawers, 8-Inch Legs
A heavy-duty utility stand that combines durable stainless construction with built-in dry-drawer storage and a rear splash for busy commercial kitchens.
- 48" x 28" footprint provides a compact but useful work and storage base.
- 304 stainless steel construction with a 16-gauge top for durability.
- Intermediate shelf over two dry drawers adds organized storage.
- Rear splash helps protect walls and adjacent equipment.
- Painted exterior ends and cabinet face create a finished look.
- 8-inch legs with adjustable feet help with leveling.
- Full finished welds support long-lasting performance.
- Made in Detroit.
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4.5 ★★★★★
Based on 20 reviews
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Product Reviews
★★★★★ 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Already outdated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
★★★★★ 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
★★★★★ 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
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
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Reviewed in the United States on April 10, 2025