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Description
Go Rhino 561460TK - Mounting brackets are application-specific for a precise fit on your vehicleThese vehicle specific brackets provide a secure, strong mount of the Rhino RC3 LR and RC4 LR Skid Plate. RC3 RC4 LR Bracket Kits come with a Limited Lifetime warranty on materials and construction and a 5 year warranty on the Textured Black Finish. Specifications: Description_SHO RC3 RC4 Brackets Description_INV Brackets for RC3 & RC4 LR Skid Plate Description_KEY RC4 LR, RC 4, rc4, RC4 LR, RC3 LR, RC 3, rc3, RC3 LR, bull bar, bull bar, bullbar,
These vehicle specific brackets provide a secure, strong mount of the Rhino RC3 LR and RC4 LR Skid Plate. RC3/RC4 LR Bracket Kits come with a Limited Lifetime warranty on materials and construction and a 5 year warranty on the Textured Black Finish.
Specifications:
| Description_SHO | RC3 RC4 Brackets |
| Description_INV | Brackets for RC3 & RC4 LR Skid Plate |
| Description_KEY | RC4 LR, RC-4, rc4, RC4-LR, RC3 LR, RC-3, rc3, RC3-LR, bull-bar, bull bar, bullbar, bumper guard, push bumper, push bar, nudge bar, ram bar, grille guard, front protection, bully bar |
| Description_DES | RC4 LR Bull Bar or RC3 LR Skid Plate - Mounting Bracket Kit Only |
| Description_ASM | 2015-2020 Chevrolet Colorado Base LT Z71 WT (Doors: 4 / Note: Application Notes: Excludes Driver Alert package); 2015-2020 GMC Canyon Base SL SLT SLE (Doors: 4 / Note: Application Notes: Excludes Driver Alert package) |
| Description_EXT | Mounting brackets are application-specific for a precise fit on your vehicle |
| Description_MKT | These vehicle specific brackets provide a secure, strong mount of the Rhino RC3 LR and RC4 LR Skid Plate. RC3/RC4 LR Bracket Kits come with a Limited Lifetime warranty on materials and construction and a 5 year warranty on the Textured Black Finish. |
| Description_FAB | Easy installation with no drilling required on most vehicles |
| Description_FAB | Heavy duty steel mounting brackets for Go Rhino RC3LR and RC4 LR bull bars |
| Description_FAB | Note: Most Go Rhino bull bars are also offered as complete, vehicle-specific kits |
| Description_DEF | Bumper Guard Mount Kit |
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4.7 ★★★★★
Based on 1042 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