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Brake Hydraulic Hose Centric Parts 150.44002Aimco: B916201 Autospecialty: HB56002 Autospecialty: HB56011 Autospecialty: HB56013 Beck Arnley: 0730911 Beck Arnley: 0730929 Bendix: 77369 Bendix: 88679 CEF: 510274 CEF: 510575 CEF: 510602 Centric Parts: 150. 44002 Coni Seal: BH188679 Continental Hose BPI: 1110 Delco Remy: 18031750 Delco Remy: 18J39 Dorman: H36857 Dorman: H96766 EIS Brakes: SP5894 EIS Brakes: SP6009 EIS Brakes: SP7018 Midas: BH1177 NAPA: 36739 NAPA: 36857 OEM Part Number: 9094702129
- Aimco: B916201
- Autospecialty: HB56002
- Autospecialty: HB56011
- Autospecialty: HB56013
- Beck/Arnley: 0730911
- Beck/Arnley: 0730929
- Bendix: 77369
- Bendix: 88679
- CEF: 510274
- CEF: 510575
- CEF: 510602
- Centric Parts: 150.44002
- Coni-Seal: BH188679
- Continental Hose - BPI: 1110
- Delco-Remy: 18031750
- Delco-Remy: 18J39
- Dorman: H36857
- Dorman: H96766
- EIS Brakes: SP5894
- EIS Brakes: SP6009
- EIS Brakes: SP7018
- Midas: BH1177
- NAPA: 36739
- NAPA: 36857
- OEM Part Number: 9094702129
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- Raybestos Brakes: BH36739
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- Wagner Brake: BH106375
- Wagner Brake: BH96766
- Wagner Brake: F106375
- Wagner Brake: F96765
- Wagner Brake: F96766
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4.8 ★★★★★
Based on 28 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Already outdated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