diff --git a/README.md b/README.md
index 6ab18e5..8a566ad 100644
--- a/README.md
+++ b/README.md
@@ -1512,20 +1512,6 @@ To query nested data, use dot notation.
 User.search "san", fields: ["address.city"], where: {"address.zip_code" => 12345}
 ```
 
-## Search Concepts
-
-### Precision and Recall
-
-[Precision and recall](https://en.wikipedia.org/wiki/Precision_and_recall) are two key concepts in search (also known as *information retrieval*). To help illustrate, let’s walk through an example.
-
-You have a store with 16 types of apples. A user searches for `apples` gets 10 results. 8 of the results are for apples, and 2 are for apple juice.
-
-**Precision** is the fraction of documents in the results that are relevant. There are 10 results and 8 are relevant, so precision is 80%.
-
-**Recall** is the fraction of relevant documents in the results out of all relevant documents. There are 16 apples and only 8 in the results, so recall is 50%.
-
-There’s typically a trade-off between the two. As you tweak your search to increase precision (not return irrelevant documents), there’s are greater chance a relevant document also isn’t returned, which decreases recall. The opposite also applies. As you try to increase recall (return a higher number of relevent documents), there’s a greater chance you also return an irrelevant document, decreasing precision.
-
 ## Reference
 
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