Docs: Update benchmarking sections

Author: ashvardanian

docs/benchmarks.md

@@ -56,7 +56,7 @@ Also worth noting, 8-bit quantization results in almost no quantization loss and
 Within this repository you will find two commonly used utilities:
 
 - `cpp/bench.cpp` the produces the `bench` binary for broad USearch benchmarks.
-- `python/bench.py` for simple benchmarks against FAISS.
+- `python/bench.py` and `python/bench.ipynb` for interactive charts against FAISS.
 
 To achieve best highest results we suggest compiling locally for the target architecture.
 
@@ -112,6 +112,27 @@ OPTIONS
         -h, --help  Print this help information on this tool and exit
 ```
 
+Here is an example of running the C++ benchmark:
+
+```sh
+./build_release/bench \
+    --vectors datasets/wiki_1M/base.1M.fbin \
+    --queries datasets/wiki_1M/query.public.100K.fbin \
+    --neighbors datasets/wiki_1M/groundtruth.public.100K.ibin
+
+./build_release/bench \
+    --vectors datasets/t2i_1B/base.1B.fbin \
+    --queries datasets/t2i_1B/query.public.100K.fbin \
+    --neighbors datasets/t2i_1B/groundtruth.public.100K.ibin \
+    --output datasets/t2i_1B/index.usearch \
+    --cos
+```
+
+
+> Optional parameters include `connectivity`, `expansion_add`, `expansion_search`.
+
+For Python, jut open the Jupyter Notebook and start playing around.
+
 ## Datasets
 
 BigANN benchmark is a good starting point, if you are searching for large collections of high-dimensional vectors.

docs/compilation.md

@@ -56,22 +56,6 @@ Testing:
 cmake -DCMAKE_CXX_COMPILER=gcc-12 -DCMAKE_CXX_COMPILER=g++-12 -DCMAKE_BUILD_TYPE=Debug -B ./build_debug && make -C ./build_debug && ./build_debug/test
 ```
 
-Benchmarking:
-
-```sh
-./build_release/bench \
-    --vectors datasets/wiki_1M/base.1M.fbin \
-    --queries datasets/wiki_1M/query.public.100K.fbin \
-    --neighbors datasets/wiki_1M/groundtruth.public.100K.ibin
-
-./build_release/bench \
-    --vectors datasets/t2i_1B/base.1B.fbin \
-    --queries datasets/t2i_1B/query.public.100K.fbin \
-    --neighbors datasets/t2i_1B/groundtruth.public.100K.ibin \
-    --output datasets/t2i_1B/index.usearch \
-    --cos
-```
-
 ## Python 3
 
 Use PyTest to validate the build.
@@ -96,25 +80,6 @@ pip install cibuildwheel
 cibuildwheel --platform linux
 ```
 
-Benchmarking:
-
-```sh
-pip install faiss-cpu
-python python/scripts/bench.py speed \
-    --vectors datasets/wiki_1M/base.1M.fbin \
-    --queries datasets/wiki_1M/query.public.100K.fbin \
-    --neighbors datasets/wiki_1M/groundtruth.public.100K.ibin
-```
-
-> Optional parameters include `connectivity`, `expansion_add`, `expansion_search`.
-
-Checking the effect of different embedding dimensions on construction speed:
-
-```sh
-python python/scripts/bench.py dimensions ...
-python python/scripts/bench.py connectivity ...
-```
-
 ## JavaScript
 
 Node.JS: