Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Exploration

One-line Summary

CE-RAG4EM is a cost-efficient RAG system for entity matching that reduces computational overhead while maintaining or improving performance.

Plain-language Overview

This research introduces a new system called CE-RAG4EM designed to make entity matching more efficient by reducing the computational load. Entity matching is a process used to identify when different data entries refer to the same real-world entity, which is important for tasks like data integration. The system uses a technique called blocking to group similar entries together, which helps to cut down on unnecessary computations. The study shows that CE-RAG4EM can match or even outperform existing methods in terms of quality while being faster and more resource-efficient.

Technical Details