Google Search is the dominant general-web search engine: a crawler fleet, an inverted index, a ranking stack driven by hundreds of signals, and a knowledge graph, all served at web scale.
CHOOSE A PRODUCT · BUILD WITH YOUR AGENT
Google Search is the dominant general-web search engine: a crawler fleet, an inverted index, a ranking stack driven by hundreds of signals, and a knowledge graph, all served at web scale.
Catalog categories: search, discovery.
Catalogued capability areas: - Web crawl and indexing at web scale - Ranking and relevance (link graph + behavioural signals) - Spell correction, query suggestions, knowledge graph, featured snippets - Universal search (images, video, news) and personalisation
This summary reflects the catalog record, not a complete product specification. Verify intended users, end-to-end workflows, supported platforms, edge cases, data handling, and constraints against cited sources. Treat capability labels as research leads until that verification is complete.
3 candidate projects in the landscape. A candidate may cover all, part, or none of what Google Search does — read the coverage and gaps below.
Privacy-respecting metasearch front end; self-hostable.
Proxies other engines — no index of its own.
Peer-to-peer crawler and index; a genuinely owned index.
Small corpus and a very different scale from Google.
Self-hosted, ad-free Google front end.
Depends on Google’s index; not an independent engine.
Alternative coverage
Partial. The pieces are open source (crawlers, OpenSearch/Meilisearch, BM25), but the integrated, owned general-web engine is not — a bounded-corpus pipeline remains a build opportunity.
The gap
No self-hostable project provides the whole owned crawl → index → rank → query pipeline at a useful general-web scale; the metasearch projects rent someone else’s index.
This Markdown file is the coding-agent skill for Google Search. Give it to your agent in your project; it guides research, reuse decisions, implementation and verification.
Give the Google Search skill to your coding agent in your project. Ask it to evaluate SearXNG ↗ against your needs, reuse what fits, then follow the skill's build and verification instructions.
Give the product skill to your coding agent in the project where you want to build. Optional starter workspace: rae build product google-search --out ./google-search. CLI reference.
