/technical
Technical Implementation · Page 13
llms.txt, ai.txt, structured data, and other technical specs for AI search readiness.
148 articles · Page 13 of 13
guideintermediate12 min read
What is Reranking for AI Search
Reranking refines retrieval results before grounding by scoring query-document pairs with a cross-encoder, sharply improving citation accuracy in RAG.
referencebeginner13 min read
What Is Semantic Search?
Semantic search uses meaning, not keywords, to retrieve results. Learn how vector embeddings, dense retrieval, and AI models power modern search.
guidebeginner16 min read
What Is a Vector Embedding for Search
A vector embedding is a fixed-length list of numbers that captures the meaning of text so similar concepts sit close together, powering semantic search and RAG.
specificationintermediate5 min read
XML Sitemap Priority and Changefreq for AI Search Crawlers
Specification for XML sitemap fields (priority, changefreq, lastmod) in the AI search era — what is honored, what is ignored, and how to use IndexNow.