doc: Add a deep dive in Pentium

README.md

@@ -2,10 +2,26 @@
 
 A search engine based on the [blog posts serie](https://blog.algolia.com/inside-the-algolia-engine-part-1-indexing-vs-search/) of the great Algolia company.
 
+If you want to be involved in the project you can [read the deep dive](deep-dive.md).
+
 This is a library, this means that binary are not part of this repository
 but since I'm still nice I have made some examples for you in the `examples/` folder.
 
-## Usage
+
+
+## Performances
+
+We made some tests on remote machines and found that we can handle, on a server that cost 5$/month with 1vCPU and 1GB of ram and on the same index and with a simple query:
+
+- near 190 users with an average response time of 90ms
+- 150 users with an average response time of 70ms
+- 100 users with an average response time of 45ms
+
+Network is mesured, servers are located in amsterdam and tests are made between two different datacenters.
+
+
+
+## Usage and examples
 
 Pentium work with an index like most of the search engines.
 So to test the library you can create one by indexing a simple csv file.
@@ -15,7 +31,7 @@ cargo build --release --example csv-indexer
 time ./target/release/examples/csv-indexer --stop-words misc/en.stopwords.txt misc/kaggle.csv
 ```
 
-The `en.stopwords.txt` file here is a simple file that contains one stop word by line (e.g. or, and...).
+The `en.stopwords.txt` file here is a simple file that contains one stop word by line (e.g. or, and).
 
 Once the command finished indexing you will have 3 files that compose the index:
 - The `xxx.map` represent the fst map.