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The article discusses six RAG architectures and advises on avoiding over-engineering by selecting the right approach based on factors like data freshness, query patterns, and scale.
A website owner discusses the challenge of gaining visibility in AI Overviews and LLMs like ChatGPT and Gemini despite strong Google rankings, and asks for practical strategies and tools to improve citation rates.
Google published an official guide on optimizing websites for its generative AI search features, including AI Overviews and AI Mode, providing SEO recommendations directly from the source.
This paper introduces Pi-Serini, a BM25-based agentic search system that demonstrates lexical retrieval can suffice for deep search when agents refine queries, achieving high accuracy and reducing costs compared to default settings.