From ec5073875dd35cba1380e609f7b0beff6ad3982b Mon Sep 17 00:00:00 2001 From: Andy Stark Date: Wed, 5 Mar 2025 10:49:49 +0000 Subject: [PATCH] DOC-4943 added links from quickstart to vector examples --- content/develop/get-started/vector-database.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/content/develop/get-started/vector-database.md b/content/develop/get-started/vector-database.md index ee5766bb57..8591184b96 100644 --- a/content/develop/get-started/vector-database.md +++ b/content/develop/get-started/vector-database.md @@ -23,6 +23,17 @@ This quick start guide helps you to: 3. Create vector embeddings and store vectors 4. Query data and perform a vector search +{{< note >}}This guide uses [RedisVL]({{< relref "/develop/clients/redis-vl" >}}), +which is a Python client library for Redis that is highly specialized for +vector processing. You may also be interested in the vector query examples +for our other client libraries: + +- [`redis-py` (Python)]({{< relref "/develop/clients/redis-py/vecsearch" >}}) +- [`NRedisStack`(C#/.NET)]({{< relref "/develop/clients/dotnet/vecsearch" >}}) +- [`node-redis` (JavaScript/Node.js)]({{< relref "/develop/clients/nodejs/vecsearch" >}}) +- [`jedis` (Java)]({{< relref "/develop/clients/jedis/vecsearch" >}}) +- [`go-redis` (Go)]({{< relref "/develop/clients/go/vecsearch" >}}) +{{< /note >}} ## Understand vector databases