SKU: 20328316261

Rear Blind Spot Radar Sensor KB3Z-14C689-B For Ford Transit 150 250 350 2019-2021

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Description

Rear Blind Spot Radar Sensor KB3Z-14C689-B For Ford Transit 150 250 350 2019-2021Rear Blind Spot Radar Sensor KB3Z 14C689 B For Ford Transit 150 250 350 2019 2021 Specifics: Material: ABS Plastic+Metal Condition: 100% Brand New Type: Blind Spot Monitor Module Fitment Type: Direct Replacement Quantity: 1pcs Manufacturer Part Number: KB3T 14C689 CC Interchange Part Number: KB3Z 14C689 B,KB3T 14C689 CC Fitment For: For 2019 2020 Ford Ranger For 2019 2022 Ford Transit 150 For 2019 2022 Ford Transit 250 For 2019 2022 Ford Transit 350

Rear Blind Spot Radar Sensor KB3Z-14C689-B For Ford Transit 150 250 350 2019-2021

Specifics:
Material: ABS Plastic+Metal
Condition: 100% Brand New
Type: Blind Spot Monitor Module
Fitment Type: Direct Replacement
Quantity: 1pcs
Manufacturer Part Number:KB3T-14C689-CC
Interchange Part Number:KB3Z-14C689-B,KB3T-14C689-CC

Fitment For:
For 2019-2020 Ford Ranger
For 2019-2022 Ford Transit-150
For 2019-2022 Ford Transit-250
For 2019-2022 Ford Transit-350
For 2019-2022 Ford Transit-350 HD

Package Included:
1x Rear Blind Spot Radar Sensor

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
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SKU: 20328316261

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4.1 ★★★★★
Based on 13 reviews
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J
Verified Purchase
Johann
Belleville, US
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
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!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 4, 2025
J
Verified Purchase
jrw879
Draper, US
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 20, 2026
W
Verified Purchase
Wil C
Boise, US
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book. Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 23, 2025
A
Verified Purchase
Abdul
Natrona Heights, US
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 5, 2025
Y
Verified Purchase
Y. Banga
Lake Worth, US
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 21, 2025

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