May 7 · 7 min read · Entity chains improve AI search visibility because retrieval systems rarely reason from a single mention. They assemble evidence from names, aliases, descriptions, relationships, source pages, schema, and repeated factual claims. When those signals p...
Join discussionMay 5 · 6 min read · Citation selection and citation absorption are different problems Subtitle: Why AI engines may cite a page without using it, and why that distinction changes how developers measure retrieval quality. When people talk about AI citations, they usually ...
Join discussionFeb 13 · 4 min read · Why I’m Building a Web Search Engine While Studying Information Retrieval I’m currently in Semester 6, and one of the subjects in my curriculum is Information Retrieval (IR). At first, I thought it would be just another theoretical course — definitio...
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Dec 30, 2025 · 6 min read · Introduction: What Are AI Shopping Visibility Tools and Why They Exist AI shopping visibility tools represent a category of platforms and services designed to help ecommerce businesses make their product catalogs more interpretable by artificial inte...
Join discussionNov 24, 2024 · 4 min read · Introduction Businesses are constantly reaching for technologies that can streamline processes, save time, and drive revenue. Artificial Intelligence (AI) is becoming a staple in these efforts, and the field is ever-expanding with innovative approach...
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Oct 16, 2024 · 2 min read · What is it? RAPTOR (Recursive Abstractive Processing for Tree-Organized Retrieval) is a new technique for improving retrieval-augmented language models, particularly for long documents: https://arxiv.org/html/2401.18059v1 Problems addressed Most exis...
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Jun 24, 2024 · 4 min read · UDA: A Benchmark Suite for Retrieval-Augmented Generation in Real-world Document Analysis Introduction In recent years, the use of Retrieval-Augmented Generation (RAG) has significantly enhanced the capabilities of Large Language Models (LLMs), enabl...
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