Merge pull request #612 from wjohnsto/master

More VSS tutorial notes

Author: PrasanKumar93

docs/howtos/solutions/vector/getting-started-vector/index-getting-started-vector.mdx

@@ -678,13 +678,26 @@ console.log(JSON.stringify(result2, null, 4));
 */
 ```
 
+## Image vs text vector query
+
 :::info Image vs text vector query
-The syntax for KNN/range vector queries remains consistent whether you're dealing with image vectors or text vectors.
+The syntax for vector KNN/ range queries is consistent, regardless of whether you're working with image vectors or text vectors. Just as there's a method for text vector queries named `queryProductDescriptionEmbeddingsByKNN`, there's a corresponding method for images titled `queryProductImageEmbeddingsByKNN` in the code base.
+:::
+
+:::tip GITHUB CODE
+
+Below is a command to the clone the source code used in this tutorial
+
+git clone https://github.com/redis-developer/redis-vector-nodejs-solutions.git
 :::
 
-## Understanding the math behind vector similarity searches
+Hopefully this tutorial has helped you visualize how to use Redis for vector similarity search.
+
+---
+
+(Optional) If you want to also understand the math behind vector similarity search , then read following
 
-### How to calculate vector similarity?
+## How to calculate vector similarity?
 
 Several techniques are available to assess vector similarity, with some of the most prevalent ones being:
 
@@ -764,3 +777,7 @@ Vectors can also be stored in databases in **binary formats** to save space. In
 ## Further reading
 
 - [Vector search in Redis 7.2](https://redis.com/blog/introducing-redis-7-2/)
+
+- [Redis VSS getting started](https://github.com/RedisVentures/redis-vss-getting-started)
+- [Redis vector use cases](https://redis.com/solutions/use-cases/vector-database/)
+- [Vector query docs](https://redis.io/docs/interact/search-and-query/search/vectors/)