SKU: 88821361657

CURT 22315 - Anti-Rattle Hitch Pin and Shim (Fits 1-1/4in. Receiver with 1/2in. Hole)

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Description

CURT 22315 - Anti-Rattle Hitch Pin and Shim (Fits 1-1/4in. Receiver with 1/2in. Hole)Product Description This CURT Anti Rattle Kit is designed to eliminate movement and noise caused by loose fitting hitch mounted accessories. It secures the shank inside the receiver using a steel bracket and threaded bolt, helping reduce rattling and load movement during towing. Built from solid steel with a corrosion resistant zinc finish, it provides a tighter, more stable connection for compatible hitch setups. Features Reduces rattling and

Product Description

This CURT Anti-Rattle Kit is designed to eliminate movement and noise caused by loose-fitting hitch-mounted accessories. It secures the shank inside the receiver using a steel bracket and threaded bolt, helping reduce rattling and load movement during towing. Built from solid steel with a corrosion-resistant zinc finish, it provides a tighter, more stable connection for compatible hitch setups.

Features

  • Reduces rattling and movement of hitch-mounted accessories
  • Secures shank inside receiver using bracket and threaded bolt
  • Helps minimize noise and load sway during towing
  • Solid steel construction for strength and durability
  • Zinc-coated finish for corrosion resistance
  • Designed for hollow shank applications only

Attributes

  • Brand: CURT
  • Product Type: Anti-Rattle Kit
  • Material: Steel
  • Finish: Yellow zinc
  • Receiver Tube Size: 1-1/4 in.
  • Shank Size Compatibility: 1-1/4 in. x 1-1/4 in.
  • Pin Hole Size: 1/2 in.
  • Part Type: Anti-Rattle Kit
  • Shipping Weight: 0.300 lb
  • Warranty: Limited lifetime warranty (one-year finish, one-year parts)
  • Quantity: Sold individually

Fitment / Notes

  • Fits 1-1/4 in. x 1-1/4 in. hitch shanks
  • Compatible with 1/2 in. hitch pin holes
  • For hollow shank accessories only
  • Not compatible with solid shanks

Additional Attributes:

  • GTIN: 612314003150
  • Box Height in Inches - XA: 2
  • Class ID: 0
  • Item Length - XA: 0.000
  • Item Class - XA: OBS
  • Box Width in Inches - XA: 4
  • Rate Class - XA: 70.0
  • Retail Height - XA: 1.000
  • Retail Length - XA: 8.000
  • Item Width - XA: 0.000
  • Receiver Tube Size: 1-1/4 IN
  • Finish - XA: Yellow zinc
  • Product Weight - XA: 0.000
  • Shipping Weight - XA: 0.300
  • Parcel Allowed - XA: Yes
  • Retail Width - XA: 5.000
  • Tariff 301 - XA: Yes
  • Box Length in Inches - XA: 7
  • Item Height - XA: 0.000
  • Warranty: Limited Lifetime Warranty (One-Year Finish, One-Year Parts)

Packaging:

  • Quantity of Each: 1
  • Package UOM: EA
  • Dimension: 8.000 x 5.000 x 1.000 inches
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 88821361657

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B. Black
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★★★★★ 3
Already outdated
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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
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★★★★★ 5
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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
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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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Lydia O
Battle Creek, 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.
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Reviewed in the United States on April 10, 2025
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Jacob Lee
Lexington, US
★★★★★ 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

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