Fully managed and integrated with Google Cloud, Azure, and AWS.
Build the fastest, most reliable GenAI apps with our advanced vector database.
Self-managed software with enterprise-grade compliance and reliability.
Synchronize data in near-real time to make data fast—without writing code.
In-memory database for caching & streaming.
Details about phonetic matching capabilities
Phonetic matching, for example "Jon" vs. "John", allows searching for terms based on their pronunciation. This capability can be a useful tool when searching for names of people.
Phonetic matching is based on the use of a phonetic algorithm. A phonetic algorithm transforms the input term to an approximate representation of its pronunciation. This allows terms to be indexed and searched by their pronunciation.
As of v1.4, Redis Query Engine, which is included in Redis Community Edition, provides phonetic matching of text fields specified with the PHONETIC
attribute. This causes the terms in such fields to be indexed both by their textual value as well as their phonetic approximation.
Performing a search on PHONETIC
fields will, by default, also return results for phonetically similar terms. This behavior can be controlled with the $phonetic
query attribute.
Redis currently supports a single phonetic algorithm, the Double Metaphone (DM). It uses the implementation at the slacy/double-metaphone GitHub site, which provides general support for Latin languages.