Neural search
Search that ranks documents by their meaning, using numeric vectors, rather than by shared keywords alone.
What it means
Neural search ranks documents by meaning, not only by shared keywords. The query and each page are turned into numeric vectors, and the system finds pages whose vectors sit close to the query vector. This helps when a user describes what they want in words the page never uses. It also helps when a query is long or phrased as a question.
Neural search has limits. It can miss exact names, codes and rare terms, so many systems combine it with keyword matching. Some providers offer neural search over links for building lists or finding sources, and a separate option for returning page text. When you compare APIs, ask whether the neural index covers the sites your app depends on, and test with exact-name queries too.
Continue this reading path
Cite this entry
https://bestwebsearchapi.com/glossary/neural-search/