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Description
Oracle Jeep JK Upper Windshield Brackets/Light ComboMount the ORACLE 288W 50 inch Double Row LED Light Bar across the front windshield of a 2007 2015 Jeep Wrangler JK easily with this new pillar mount bracket from ORACLE Lighting. These brackets are made specifically for the JEEP Wrangler JK model and will attach directly to your vehicle without further modification. Product Features: Weight: 3lb. 9oz. Width: 3. 5" Height: 6. 5" Length: 22. 5" Mounts to windshield Pillar Uses Factory Bolt Hardware
Mount the ORACLE 288W 50 inch Double Row LED Light Bar across the front windshield of a 2007-2015 Jeep Wrangler JK easily with this new pillar mount bracket from ORACLE Lighting. These brackets are made specifically for the JEEP Wrangler JK model and will attach directly to your vehicle without further modification. Product Features: - Weight: 3lb. 9oz. - Width: 3.5" - Height: 6.5" - Length: 22.5" - Mounts to windshield Pillar - Uses Factory Bolt Hardware - Weather Resistant Coating - Welded Steel Construction - Will Fit all 2007-15 Jeep JK Models Package Includes: - x2 Jeep JK Upper Windshield Brackets - x1 ORACLE 288W 50" Double Row LED Light Bar - Mounting HardwareThis Part Fits:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 2011 | Jeep | Wrangler | 70th Anniversary |
| 2016 | Jeep | Wrangler | 75th Anniversary |
| 2021 | Jeep | Wrangler | 80th Anniversary |
| 2021 | Jeep | Wrangler | Freedom |
| 2021 | Jeep | Wrangler | Islander |
| 2007-2018,2020-2021 | Jeep | Wrangler | Rubicon |
| 2007-2017 | Jeep | Wrangler | Sahara |
| 2010-2018,2020-2021 | Jeep | Wrangler | Sport |
| 2016,2018,2020-2021 | Jeep | Wrangler | Sport S |
| 2011 | Jeep | Wrangler | Unlimited 70th Anniversary |
| 2016 | Jeep | Wrangler | Unlimited 75th Anniversary |
| 2021 | Jeep | Wrangler | Unlimited 80th Anniversary |
| 2021 | Jeep | Wrangler | Unlimited Freedom |
| 2021 | Jeep | Wrangler | Unlimited High Altitude |
| 2021 | Jeep | Wrangler | Unlimited High Altitude 4xe |
| 2021 | Jeep | Wrangler | Unlimited Islander |
| 2018 | Jeep | Wrangler | Unlimited Moab |
| 2007-2018,2020-2021 | Jeep | Wrangler | Unlimited Rubicon |
| 2021 | Jeep | Wrangler | Unlimited Rubicon 392 |
| 2021 | Jeep | Wrangler | Unlimited Rubicon 4xe |
| 2007-2018,2020-2021 | Jeep | Wrangler | Unlimited Sahara |
| 2021 | Jeep | Wrangler | Unlimited Sahara 4xe |
| 2021 | Jeep | Wrangler | Unlimited Sahara Altitude |
| 2010-2018,2020-2021 | Jeep | Wrangler | Unlimited Sport |
| 2021 | Jeep | Wrangler | Unlimited Sport Altitude |
| 2016,2018,2020-2021 | Jeep | Wrangler | Unlimited Sport S |
| 2021 | Jeep | Wrangler | Unlimited Willys |
| 2021 | Jeep | Wrangler | Unlimited Willys Sport |
| 2007-2010 | Jeep | Wrangler | Unlimited X |
| 2021 | Jeep | Wrangler | Willys |
| 2021 | Jeep | Wrangler | Willys Sport |
| 2007-2010 | Jeep | Wrangler | X |
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4.6 ★★★★★
Based on 30 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