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When Is Graph Structure Worth Its Cost? The Case for Structure Pricing in Retrie

BACKGROUND
1 SIGNALFIRST DETECTED 17 September 2026
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17 Sept
Other feeds and industry voices
9 May
FinRAG-12B: A Production-Validated Recipe for Grounded Question Answering in Banking

arXiv:2605.05482v1 Announce Type: new Abstract: Large language models (LLMs) are rapidly being adopted across various domains. However, their adoption in banking industry faces

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9 Apr
Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems

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STAR: Semantic-Tuned and Tail-Adaptive Retriever for Graph-Augmented Generation

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5 Sept
STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation

arXiv:2609.03874v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) is a key component for generating accurate and hallucination free answers using Large Language

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13 Apr
From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI

arXiv:2604.08603v1 Announce Type: new Abstract: Existing LLM-based agent systems share a common architectural failure: they answer from the unrestricted knowledge space without

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25 Jun
To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG

arXiv:2606.25191v1 Announce Type: new Abstract: Multi-agent document assessment for retrieval-augmented generation is computationally expensive, driving practitioners toward

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