Empirical study claiming to be the first broad comparison of chunking methods in RAG, highlighting effectiveness, cost, and generalization limitations across scenarios.
Collaco, Nadia G
3 Pith papers cite this work, alongside 7 external citations. Polarity classification is still indexing.
3
Pith papers citing it
7
external citations · OpenAlex
years
2026 3representative citing papers
The paper introduces a measure of semantic entanglement in embeddings and a pipeline that improves Top-K retrieval precision from 32% to 82% on a healthcare knowledge base.
citing papers explorer
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Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations
Empirical study claiming to be the first broad comparison of chunking methods in RAG, highlighting effectiveness, cost, and generalization limitations across scenarios.
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Semantic Entanglement in Vector-Based Retrieval: A Formal Framework and Context-Conditioned Disentanglement Pipeline for Agentic RAG Systems
The paper introduces a measure of semantic entanglement in embeddings and a pipeline that improves Top-K retrieval precision from 32% to 82% on a healthcare knowledge base.
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