Predis guide (PHP) on Docs

Connect to the server

Mon, 01 Jan 0001 00:00:00 +0000

Basic connection

Connect to a locally-running server on the standard port (6379) with the following code:

Index and query documents

Mon, 01 Jan 0001 00:00:00 +0000

This example shows how to create a search index for JSON documents and run queries against the index. It then goes on to show the slight differences in the equivalent code for hash documents.

Note:

From v3.0.0 onwards, Predis uses query dialect 2 by default. Redis query engine methods such as ftSearch() will explicitly request this dialect, overriding the default set for the server. See Query dialects for more information.

Initialize

Make sure that you have Redis Open Source or another Redis server available. Also install the Predis client library if you haven't already done so.

Index and query vectors

Mon, 01 Jan 0001 00:00:00 +0000

Redis Query Engine lets you index vector fields in hash or JSON objects (see the Vectors reference page for more information). Among other things, vector fields can store text embeddings, which are AI-generated vector representations of the semantic information in pieces of text. The vector distance between two embeddings indicates how similar they are semantically. By comparing the similarity of an embedding generated from some query text with embeddings stored in hash or JSON fields, Redis can retrieve documents that closely match the query in terms of their meaning.