Paper analyzes industrial retrieval pipelines as a service

A new paper analyzes the architecture and deployment of industrial retrieval pipelines, focusing on their implementation as a Retrieval-as-a-Service (RaaS) layer. It highlights how production constraints like latency, scalability, and resource limitations influence system design. The paper proposes a unified RaaS pipeline abstraction and examines the integration and impact of Large Language Model (LLM)-based retrieval mechanisms on performance and overhead. AI

RANK_REASON The cluster contains a research paper published on arXiv detailing system-oriented analysis of industrial retrieval pipelines. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

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