---
title: Uber's Generative AI-Powered "Genie" Solves 70,000+ On-Call Queries…
type: post
date: 2024-10-11
source: linkedin
original_url: "https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7250360630795272192"
topics: ["generative-ai", "architecture", "green-software"]
summary: Uber's Generative AI-Powered "Genie" Solves 70,000+ On-Call Queries, Saving Engineers an Estimated 13,000+ Hours! Uber’s Genie uses Generative AI and Retrieval-Augmented Generation (RAG) to streamline on-call operations. It integrates OpenAI models, secure…
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Uber's Generative AI-Powered "Genie" Solves 70,000+ On-Call Queries, Saving Engineers an Estimated 13,000+ Hours!

Uber’s Genie uses Generative AI and Retrieval-Augmented Generation (RAG) to streamline on-call operations. It integrates OpenAI models, secure data storage, and source verification for accurate responses, significantly minimizing hallucinations. This tool has resolved over 70,000 queries, saving an estimated 13,000+ engineering hours across 154 Slack channels.

The blog delves into architecture details, exploring data processing, integration, and technical challenges, showcasing how AI is transforming operational efficiency.

I would love to see future architecture iterations—and indeed all architectures—prioritize sustainability, ensuring AI advancements enhance efficiency and minimize environmental impact.