---
title: GraphRAG Use Cases and Results From 300+ AI Builds
description: See where GraphRAG beats basic RAG and where it doesn't, with results from 300+ enterprise AI builds on accuracy, token use and cost.
image: https://info.tigergraph.com/hubfs/GraphRAG%20in%20Practice-1.jpg
---

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Report

# **GraphRAG** in Practice

GraphRAG use cases and results from 300+ enterprise AI builds

Is GraphRAG worth the extra work, or is basic RAG good enough? This report answers with evidence instead of opinion. More than 300 teams built enterprise AI applications on TigerGraph and measured GraphRAG against basic RAG on the same questions. The results show where connected context changes the answer, where it saves tokens and where plain retrieval already does the job.

### Download the free report

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## What **300+ builds revealed**

![8429366\_ecommerce\_shopping\_online\_attention\_magnifier\_icon 1](https://info.tigergraph.com/hubfs/8429366_ecommerce_shopping_online_attention_magnifier_icon%201.svg)

### GraphRAG wins when answers span several records

Questions that link people, accounts, documents or events across hops were where basic RAG most often fell short.

![8388125\_2business\_finance\_office\_organize\_structure\_icon 1](https://info.tigergraph.com/hubfs/8388125_2business_finance_office_organize_structure_icon%201.svg)

### Accuracy and cost improved together

Sending the model connected facts instead of long chunks cut token use by 80.7% on average, while answer quality held steady or improved.

![8463505\_human\_anatomy\_body\_brain\_organ\_icon 1](https://info.tigergraph.com/hubfs/8463505_human_anatomy_body_brain_organ_icon%201.svg)

### Basic RAG held up on simple lookups

Single-document, single-fact questions saw little gain from a graph, so the report shows where not to spend effort.

![8441437\_essential ui\_app\_web\_protection\_shield\_icon 1](https://info.tigergraph.com/hubfs/8441437_essential%20ui_app_web_protection_shield_icon%201.svg)

### The best results came from real use cases

Fraud and risk, customer intelligence, research and support search were the most common problem areas.

## What the report **covers**

### Side-by-side results for GraphRAG and basic RAG on accuracy, token use and cost

### The enterprise use cases where GraphRAG made the biggest difference

### Question types that need multi-hop context, and those that do not

### Architecture patterns used by the highest-scoring builds

### How to run the same comparison on your own data

## Who should **read it**

AI and data leaders who need proof before funding a GraphRAG project, and architects who want to know which use cases justify a graph and which do not.

## GraphRAG use cases, **answered**

### What are the best use cases for GraphRAG?

GraphRAG works best when an answer depends on relationships across many records. Common examples are fraud and risk investigation, customer 360 questions, compliance tracing, supply chain impact analysis and research across linked documents. For single-fact lookups in one document, basic RAG is usually enough.

### Is GraphRAG better than RAG?

Not always. GraphRAG is better when a question needs facts that connect across several hops, because it retrieves the relationships and not just similar text. It also tends to use fewer tokens. For simple questions answered by one passage, basic RAG is cheaper to build and performs about as well.

### What are the limitations of GraphRAG?

GraphRAG needs a data model, so there is more upfront design than with basic RAG. The graph has to stay current as source data changes, and simple questions gain little from it. The report shows how teams scoped their builds to get the benefit without the extra overhead.

![](https://info.tigergraph.com/hubfs/5_CTA%20section.jpg)

## See the evidence **before you build**

Get the full results from 300+ builds. Ready to test GraphRAG on your own data? Book a TigerGraph demo or start free in Savanna.

[Download the free report](https://info.tigergraph.com/graphrag-in-practice?hsLang=en-us#download-form) [Contact us](https://www.tigergraph.com/contact)

### → Download the free report

## Related **reports**

[**GraphRAG Builder Playbook** How to build GraphRAG that holds up in production, based on 300+ enterprise AI builds →](https://info.tigergraph.com/graphrag-builder-playbook?hsLang=en-us) [**Breaking the RAG Wall** Why retrieval-based AI breaks down at enterprise scale, and what fixes it →](https://info.tigergraph.com/breaking-the-rag-wall-why-retrieval-based-ai-systems-collapse-at-scale?hsLang=en-us)

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