DOC-5552 applied PR feedback

Author: andy-stark-redis

content/develop/clients/jedis/vecsearch.md

@@ -151,7 +151,7 @@ Use the `predict()` method of the `Predictor` object
 as shown below to create the embedding that represents the `content` field.
 The `predict()` method returns a `float[]` array which is then converted to a `byte`
 string using the helper method. Use the `byte` string representation when you are
-indexing hash objects (as we are here), but use the array of `float` directly for
+indexing hash objects (as in this example), but use the array of `float` directly for
 JSON objects (see [Differences with JSON objects](#differences-with-json-documents)
 below). Note that when you set the `embedding` field, you must use an overload
 of `hset()` that requires `byte` arrays for each of the key, the field name, and

local_examples/client-specific/jedis/HomeVecSets.java

@@ -133,7 +133,8 @@ final class Person {
 
         List<String> basicResults = jedis.vsim("famousPeople", actorsEmbedding);
         System.out.println(basicResults);
-        // >>> [Masako Natsume, Chaim Topol, Linus Pauling, Marie Fredriksson, Maryam Mirzakhani, Marie Curie, Freddie Mercury, Paul Erdos]
+        // >>> [Masako Natsume, Chaim Topol, Linus Pauling, Marie Fredriksson,
+        // >>> Maryam Mirzakhani, Marie Curie, Freddie Mercury, Paul Erdos]
     // STEP_END
 
     // STEP_START limited_query
@@ -153,7 +154,8 @@ final class Person {
 
         List<String> entertainerResults = jedis.vsim("famousPeople", entertainerEmbedding);
         System.out.println(entertainerResults);
-        // >>> [Freddie Mercury, Chaim Topol, Linus Pauling, Marie Fredriksson, Masako Natsume, Paul Erdos, Maryam Mirzakhani, Marie Curie]
+        // >>> [Freddie Mercury, Chaim Topol, Linus Pauling, Marie Fredriksson,
+        // >>> Masako Natsume, Paul Erdos, Maryam Mirzakhani, Marie Curie]
     // STEP_END
 
         float[] scienceEmbedding;