Google's Guide to Optimizing for Generative AI Features on Google Search | Google Search Central | Documentation | Google for Developers
SEO fundamentals Introduction Search Essentials SEO Starter Guide Optimizing for generative AI search How Google Search Works Do you need an SEO? Crawling and indexing Sitemaps robots.txt Meta tags Crawler management Removals Canonicalization Redirects JavaScript SEO Ranking and search appearance Visual Elements gallery Title links Snippets Images Videos Structured data Favicons Site-specific guid
SoftMatcha
TL;DR Trillion-scale corpora can be searched in <0.3s with soft matching that preserves word order and semantic similarity. Abstract We present an ultra-fast and flexible search algorithm that enables search over trillion-scale natural language corpora in under 0.3 seconds while handling semantic variations (substitution, insertion, and deletion). Our approach employs string matching based on suff
Building docfind: Fast Client-Side Search with Rust and WebAssembly
Version 1.108 is now available! Read about the new features and fixes from December. January 15, 2026 by João Moreno If you've visited the VS Code website recently, you might have noticed something new: a fast, responsive search experience that feels almost instant. Behind that experience is docfind, a search engine we built that runs entirely in your browser using WebAssembly. In this post, I wan
Building a web search engine from scratch in two months with 3 billion neural embeddings
Building a web search engine from scratch in two months with 3 billion neural embeddings A while back, I decided to undertake a project to challenge myself: build a web search engine from scratch. Aside from the fun deep dive opportunity, there were two motivators: Search engines seemed to be getting worse, with more SEO spam and less relevant quality content. Transformer-based text embedding mode
Capy - The IDE for the parallel age
Orchestrate an army of coding agents from one dashboard. Ship entire sprints in parallel.
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