EfficientRAG reduces LLM calls for multi-hop questions
An article published on August 17, 2024 presents a retrieval method that generates queries iteratively without calling an LLM at every step.
Source: EfficientRAG para perguntas multi-hop (arxiv.org). Text prepared with AI from this source.
What happened and what to do
Published on August 17, 2024, the article presents EfficientRAG, a retrieval method for multi-hop questions. Its approach generates new queries iteratively without requiring an LLM call at each iteration, aiming to reduce repeated calls for complex questions.
A company can assess this approach in its own search workflow: select representative multi-hop questions, measure answer quality, and track call counts and processing time. Based on the results, it can implement and monitor a retrieval pipeline suited to its content and requirements.
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Wendelmaques can diagnose the search workflow and its requirements, define an evaluation using representative questions, and propose implementation and operation of a monitored retrieval pipeline.
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