SKU: 59167404204

RockShox, 35 Gold RL A2, Suspension Fork, 27.5'', DebonAir, 150mm, 1-1/8''-1.5'', 15x110mm TA, Rake: 44mm, Black

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RockShox, 35 Gold RL A2, Suspension Fork, 27.5'', DebonAir, 150mm, 1-1/8''-1.5'', 15x110mm TA, Rake: 44mm, BlackProduct Specifics Today's Stock Status Currently not available UPC: 710845845345 EAN: Not available Manufacturer Part Number: 00. 4020. 561. 004 FK6160 140816 07 275 152784 Q0 L

    Product Specifics




      Today's Stock Status

      Currently not available




      UPC: 710845845345
      EAN: Not available
      Manufacturer Part Number: 00.4020.561.004
      FK6160 140816-07-275
      152784-Q0-L

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      SKU: 59167404204

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      4.5 ★★★★★
      Based on 29 reviews
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      Verified Purchase
      B. Black
      Chelsea, US
      ★★★★★ 3
      Already outdated
      Format: Paperback
      Concepts are sound but the code in this book is already obsolete
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on August 5, 2025
      J
      Joe Faith
      Lexington, 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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on July 17, 2025
      T
      Tom C Taulli
      Birmingham, 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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on April 11, 2025
      L
      Lydia O
      Los Angeles, 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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on April 10, 2025
      J
      Jacob Lee
      Belleville, US
      ★★★★★ 5
      Fantastic!
      Format: Paperback
      A great primer on getting started with LangChain concepts!
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on April 10, 2025

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