[DOC] Can't find k1 parameter using search (not indexed?)

Author: aryasoni98

_search-plugins/keyword-search.md

@@ -3,6 +3,8 @@ layout: default
 title: Keyword search
 has_children: false
 nav_order: 10
+meta_description: Learn about BM25 keyword search in OpenSearch, including how to configure BM25 parameters k1 and b for better search relevance
+meta_keywords: BM25, keyword search, k1, b, term frequency, inverse document frequency, TF/IDF, search relevance, Okapi BM25
 ---
 
 # Keyword search
@@ -165,7 +167,12 @@ PUT /testindex
 
 ## Configuring BM25 similarity 
 
-You can configure BM25 similarity parameters at the index level as follows:
+You can configure BM25 similarity parameters at the index level. The BM25 algorithm supports two key parameters: `k1` (term saturation parameter) and `b` (length normalization parameter). These parameters control how BM25 scores documents:
+
+- The `k1` parameter controls term frequency saturation, determining how quickly the relevance score increases as term frequency grows.
+- The `b` parameter controls the impact of document length on scoring.
+
+You can configure these parameters at the index level as follows:
 
 ```json
 PUT /testindex

assets/js/search.js

@@ -90,7 +90,7 @@
 
         const doSearch = async () => {
             const query = elInput.value.replace(/[^a-z0-9-_. ]+/ig, ' ');
-            if (query.length < 3) return hideResults(true);
+            if (query.length < 2) return hideResults(true);
             if (query === lastQuery) return;
 
             recordEvent('search', {