#agentic-search News & Analysis

3 articles tagged with #agentic-search. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · 2d ago6/10

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Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling

Researchers introduce Graph-Distance Contribution Reward (GDCR), a novel step-level credit assignment method for agentic search that evaluates individual agent actions by measuring progress toward answer nodes in knowledge graphs. Combined with Step Advantage Policy Optimization (SAPO), this approach improves upon trajectory-level reward systems that cannot assess the quality of intermediate steps, showing strong results across multiple benchmarks.

AINeutralarXiv – CS AI · Apr 146/10

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Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems

A new benchmark study (RAGSearch) evaluates whether agentic search systems can reduce the need for expensive GraphRAG pipelines by dynamically retrieving information across multiple rounds. Results show agentic search significantly improves standard RAG performance and narrows the gap to GraphRAG, though GraphRAG retains advantages for complex multi-hop reasoning tasks when preprocessing costs are considered.

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AINeutralarXiv – CS AI · Mar 25/107

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HotelQuEST: Balancing Quality and Efficiency in Agentic Search

Researchers introduce HotelQuEST, a new benchmark for evaluating agentic search systems that balances quality and efficiency metrics. The study reveals that while LLM-based agents achieve higher accuracy than traditional retrievers, they incur substantially higher costs due to redundant operations and poor optimization.