DOC-5073 added quantization and reduction examples

Author: andy-stark-redis

content/develop/data-types/vector-sets/memory.md

@@ -64,11 +64,19 @@ High-dimensional vectors increase storage:
 - 300 components at `FP32` = 1200 bytes/vector
 - 300 components at `Q8` = 300 bytes/vector
 
-You can reduce this using the `REDUCE` option during [`VADD`]({{< relref "/commands/vadd" >}}), which applies random projection.
-
-```bash
-VADD vset REDUCE 100 VALUES 300 ... item1
-```
+You can reduce this using the `REDUCE` option during [`VADD`]({{< relref "/commands/vadd" >}}), which applies [random projection](https://en.wikipedia.org/wiki/Random_projection):
+
+{{< clients-example vecset_tutorial add_reduce >}}
+>VADD setNotReduced VALUES 300 ... element
+(integer) 1
+> VDIM setNotReduced
+(integer) 300
+
+>VADD setReduced REDUCE 100 VALUES 300 ... element
+(integer) 1
+> VDIM setReduced
+(integer) 100
+{{< /clients-example >}}
 
 This projects a 300-dimensional vector into 100 dimensions, reducing size and improving speed at the cost of some recall.
 

content/develop/data-types/vector-sets/performance.md

@@ -41,6 +41,29 @@ Quantization greatly impacts both speed and memory:
 - `NOQUANT` (`FP32`): Full precision, slower performance, highest memory use
 
 Use the quantization mode that best fits your tradeoff between precision and efficiency.
+The examples below show how the different modes affect a simple vector.
+Note that even with `NOQUANT` mode, the values change slightly,
+due to floating point rounding.
+
+{{< clients-example vecset_tutorial add_quant >}}
+> VADD quantSetQ8 VALUES 2 1.262185 1.958231 quantElement Q8
+(integer) 1
+> VEMB quantSetQ8 quantElement
+1) "1.2643694877624512"
+2) "1.958230972290039"
+
+> VADD quantSetNoQ VALUES 2 1.262185 1.958231 quantElement NOQUANT
+(integer) 1
+> VEMB quantSetNoQ quantElement
+1) "1.262184977531433"
+2) "1.958230972290039"
+
+> VADD quantSetBin VALUES 2 1.262185 1.958231 quantElement BIN
+(integer) 1
+> VEMB quantSetBin quantElement
+1) "1"
+2) "1"
+{{< /clients-example >}}
 
 ## Deletion performance