Home / About the Semantic Search Guide
About the Semantic Search Guide
The Semantic Search Guide is an independent reference on semantic search: how it works, how to build it, how to measure it and when it beats keyword search. It is written for developers, search engineers and technical product teams who need clear explanations and working patterns rather than marketing claims. The site is organised into sections that run from foundations and core mechanics through embeddings, hybrid search, filtering, reranking and evaluation, to tools, performance and real use cases. Every guide answers one question directly in its opening paragraph and then goes into the detail needed to act on it.
Who writes the guide
The guide is written and maintained by the SSG Team. Guides are drafted with AI assistance and then checked against primary documentation, original papers and runnable code before publication. No guide is published until it has passed a written review and a set of automated quality checks. The full process is described in the editorial policy.
What the guide covers
The guide is built as one connected map of the subject rather than a stream of posts. Each topic has a single page, and related pages link to each other, so a reader can start with what semantic search is and follow the path to how it works, how to build it and how to evaluate it. Terms used across the site are defined in the glossary.
Most guides include diagrams drawn for the page, and many include code examples. Where a guide uses numbers, they are either exact arithmetic shown on the page or figures attributed to a named source, and illustrative values are labelled as such.
How the guide stays independent
The Semantic Search Guide has no affiliation with any search engine, database or model vendor. It carries no advertising, no affiliate links and no sponsored content, and no company has paid for coverage or reviewed a guide before publication. When a guide uses a particular product as a worked example, that choice is editorial.
Sources are cited in the text by name rather than with outbound links, and the site does not collect personal data for advertising or analytics.