chore: update README

README.md

@@ -26,3 +26,14 @@ sequences = [
 ]
 distances = metric(sequences)
 ```
+
+The returned list is flat and contains `N * (N - 1) / 2` elements, i.e. the lower (or upper) triangle of the distance 
+matrix. To get the square form of the matrix, use `scipy.spatial.distance.squareform` on the returned distances.
+
+## About
+
+As the header suggests, `setriq` is a no-frills Python package for fast computation of pairwise sequence distances, with
+a focus on immunoglobulins. It is a declarative framework and borrows many concepts from the popular `torch` library. It 
+has been optimized for parallel compute on CPU architectures.
+
+It can **only** perform pairwise, all-v-all distance computations. This decision was made to maximize consistency.