•1 min read•from Towards Data Science
Larger Context Windows Don’t Fix RAG — So I Built a System That Does
Increasing context size in RAG systems doesn’t improve accuracy for aggregation tasks—it makes errors harder to detect. In this article, I benchmark retrieval-based pipelines against a deterministic full-scan engine across 100,000 rows and show why computation queries must be routed away from RAG entirely.
The post Larger Context Windows Don’t Fix RAG — So I Built a System That Does appeared first on Towards Data Science.
Want to read more?
Check out the full article on the original site
Tagged with
#generative AI for data analysis
#rows.com
#Excel alternatives for data analysis
#natural language processing for spreadsheets
#big data management in spreadsheets
#conversational data analysis
#cloud-based spreadsheet applications
#real-time data collaboration
#intelligent data visualization
#data visualization tools
#enterprise data management
#big data performance
#data analysis tools
#data cleaning solutions
#RAG
#Retrieval-Augmented Generation
#Context Window
#Aggregation
#Accuracy
#Retrieval-based Pipelines