---
title: "Enhanced Agentic-RAG: What If Chatbots Could Deliver Near-Human Precision?"
url: https://daily.dev/posts/enhanced-agentic-rag-what-if-chatbots-could-deliver-near-human-precision--bqfc5j2vt
source_url: https://www.uber.com/blog/enhanced-agentic-rag/
type: article
source: "Uber Engineering"
published: 2025-05-29T14:10:30.176Z
updated: 2025-05-30T20:12:30.120Z
tags: ["machine-learning", "llm", "bots", "langchain", "rag"]
reading_time: 15
upvotes: 0
comments: 0
language: en
---

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# Enhanced Agentic-RAG: What If Chatbots Could Deliver Near-Human Precision?

**[Uber Engineering](https://daily.dev/sources/uber)** · 15 min read · 0 upvotes · 0 comments

## Summary

Uber developed Enhanced Agentic-RAG (EAg-RAG) to improve their internal chatbot Genie's accuracy from traditional RAG systems. The approach includes enriched document processing with custom Google Docs loaders, LLM-powered agents for query optimization and source identification, and automated evaluation using LLM-as-Judge. This resulted in a 27% relative increase in acceptable answers and 60% reduction in incorrect advice for engineering security and privacy queries.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.uber.com/blog/enhanced-agentic-rag/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#bots](https://daily.dev/tags/bots), [#langchain](https://daily.dev/tags/langchain), [#rag](https://daily.dev/tags/rag)

[View this post on daily.dev](https://daily.dev/posts/enhanced-agentic-rag-what-if-chatbots-could-deliver-near-human-precision--bqfc5j2vt)