SKU: 43259922130

BGA Steering Tie Rod End Ball Joint Front Right fits BMW 5 2016-2023

Sale price$18.89 Regular price$20.99
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Description

BGA Steering Tie Rod End Ball Joint Front Right fits BMW 5 2016-2023Description This BGA Tie Rod End (Part Number SR0960) is OE quality replacement, supplied for direct fitment to compatible vehicles. Specifications Brand BGA Part Type Tie Rod End Position Front Right Fitting Position Front Axle Right Length 199mm paired article number SR0959 Manufacturer Part Number SR0960 Vehicle Compatibility Use the vehicle compatibility checker above to confirm fitment to your registration. This part fits the following vehicles:

Description

This BGA Tie Rod End (Part Number SR0960) is OE-quality replacement, supplied for direct fitment to compatible vehicles.

Specifications

Brand BGA
Part Type Tie Rod End
Position Front Right
Fitting Position Front Axle Right
Length 199mm
paired article number SR0959
Manufacturer Part Number SR0960

Vehicle Compatibility

Use the vehicle compatibility checker above to confirm fitment to your registration. This part fits the following vehicles:

Make Model Years
BMW 5 (G30, F90) 2016-2023
BMW 5 Touring (G31) 2017-2020

OEM References

This part is a direct OE-quality replacement for the following original equipment manufacturer part numbers:

Make Reference
BMW 32106868687

Why Buy BGA?

BGA is a trusted name in OE-quality replacement parts. Every component is manufactured to original equipment standards, providing reliable performance, exact fitment and long service life.

  • OE-quality construction
  • Tested to manufacturer specifications
  • Trusted by professional workshops
  • Backed by manufacturer warranty
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SKU: 43259922130

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★★★★★ 5
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This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.
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Reviewed in the United States on April 6, 2026
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Pawtucket, US
★★★★★ 5
Effective book for learning ollama
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The author has explained clearly the concept. Helpful and effectively written.
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Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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jrw879
Bozeman, US
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
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Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Bozeman, US
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Great little book. Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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