SKU: 85826379523

Trq Rear Strut & Coil Spring Assembly Set Driver & Passenger Sides Compatible With 94-07 Ford Taurus 94-05 Mercury Sable

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Description

Trq Rear Strut & Coil Spring Assembly Set Driver & Passenger Sides Compatible With 94-07 Ford Taurus 94-05 Mercury Sable2 Piece Strut & Spring Assembly Setkit Includes(1) Rear Driver Side Strut & Spring Assembly(1) Rear Passenger Side Strut & Spring Assemblyfitmentcompatible With: 1995 07 Ford Taurus Sedan Rear Driver & Passenger Sidecompatible With: 1995 05 Mercury Sable Sedan Rear Driver & Passenger Sidecompatible With: 1994 Ford Taurus Sedan From 4 01 94 Production Date Rear Driver & Passenger Sidecompatible With: 1994 Mercury Sable Sedan From 4 01 94 Production

2 Piece Strut & Spring Assembly Setkit Includes(1) Rear Driver Side Strut & Spring Assembly(1) Rear Passenger Side Strut & Spring Assemblyfitmentcompatible With: 1995-07 Ford Taurus Sedan Rear Driver & Passenger Sidecompatible With: 1995-05 Mercury Sable Sedan Rear Driver & Passenger Sidecompatible With: 1994 Ford Taurus Sedan From 4/01/94 Production Date Rear Driver & Passenger Sidecompatible With: 1994 Mercury Sable Sedan From 4/01/94 Production Date Rear Driver & Passenger Sideproduct Attributesquantity: 2 Pieceproduct Features Loaded Struts: Pre-Assembled Application Specific Design Application Specific Design: No Modifications Necessary Matched Pair: Improved Comfort And Extended Service Life Restored Performance: Reduced Body Sway And Vibrationitem Detailstrq Fully Loaded Shocks And Struts Are Manufactured Using Premium Raw Materials And Calibrated To Restore Original Ride Comfort. Trq Shocks Are Fully Loaded Featuring A Pre-Loaded Bearing Plate, Upper And Lower Spring Isolator, Upper Spring Seat, Coil Spring, Boot Kit, And Premium Strut. Trq Recommends Replacing Your Shocks Or Struts In Pairs To Ensure Even Wear Of Components And Improved Ride Comfort. All Products Are Fit And Road-Tested In Our Massachusetts R&D Facility To Ensure We Deliver On Our Promise Of Trusted Reliable Quality.Reference Numbersford: 271616, Sr4010, Sr4034Gabriel: G56936Hollander: 527-01225Kyb: Sr4011Monroe Shocks & Struts: 171616, 181616Unity Automotive: 15040

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SKU: 85826379523

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4.1 ★★★★★
Based on 27 reviews
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Verified Purchase
Filipe Fernandes
Phoenix, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Cuba, US
★★★★★ 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
B
Verified Purchase
B. Black
Carnegie, US
★★★★★ 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
J
Joe Faith
Louisville, 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.
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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.
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Reviewed in the United States on April 11, 2025

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