Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation
- 类型：arxiv
- 标识：2608.31139
- 链接：http://arxiv.org/abs/2608.31139v1
- 主分类：rag
- 形态：position
- TLDR：BioMedRAG introduced retrieval-augmented generation with a learned chunk scorer for biomedical information extraction. However, it relies on fixed-size chunking which can fragment semantic evidence. We propose a configurable semantic chunking framework that addresses this limitation by combining entity-preserving windows, trigger-centered chunking, proposition-first extraction, tiered trigger prioritization, and hierarchical relation resolution. The framework integrates with BioMedRAG by replacing only the chunk construction stage while preserving the embedding model, learned chunk scorer, gen
- 副分类：llm-infra
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-09-01-agent-rag-longcontext-candidates.json