Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Batch Processing Framework

arXiv:2602.05708 · cs.DB, cs.CL · Submitted 2026-02-05 · Read on arXiv

cs.DB, cs.CL

Submitted: 2026-02-05

Updated: 2026-10-15

Terminology

• RAG — 6× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Related papers

• Cost-Aware Mixture-of-Experts Coordination for Model Markets
• Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Juries
• Human-Level Text-to-SQL via Reinforcement Learning on Verified Data, Without Pipeline Engineering
• MetaJoin: Adaptive Join Selections for Heterogeneous Tables
• Bridging Business Intent and Data: A Benchmark for Automatic Relational Data Product Generation
• DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation