README.md in autosuggest-0.1.1 vs README.md in autosuggest-0.1.2

@@ -12,20 +12,34 @@
 
 ```ruby
 gem 'autosuggest'
 ```
 
-## How It Works
+## Getting Started
 
-#### Start with the most popular queries
+#### Prepare your data
 
+Start with a hash of queries and their popularity, like the number of users who have searched it.
+
 ```ruby
-top_queries = Search.group("LOWER(query)")
-                    .having("COUNT(DISTINCT user_id) >= 5")
-                    .count("DISTINCT user_id")
-# {"bananas" => 353, "apples" => 213, ...
+top_queries = {
+  "bananas" => 353,
+  "apples"  => 213,
+  "oranges" => 140
+}
+```
 
+With [Searchjoy](https://github.com/ankane/searchjoy), you can do:
+
+```ruby
+top_queries = Searchjoy::Search.group(:normalized_query)
+  .having("COUNT(DISTINCT user_id) >= 5").distinct.count(:user_id)
+```
+
+Then pass them to Autosuggest.
+
+```ruby
 autosuggest = Autosuggest.new(top_queries)
 ```
 
 #### Filter duplicates
 
@@ -74,21 +88,20 @@
 #### Profit
 
 Get suggestions with:
 
 ```ruby
-autosuggest.suggestions
+autosuggest.suggestions(filter: true)
 ```
 
 Filter queries without results and you’re set. We also prefer to have someone manually approve them by hand.
 
 ## Full Example
 
 ```ruby
-top_queries = Search.group("LOWER(query)")
-                    .having("COUNT(DISTINCT user_id) >= 5")
-                    .count("DISTINCT user_id")
+top_queries = Searchjoy::Search.group(:normalized_query)
+  .having("COUNT(DISTINCT user_id) >= 5").distinct.count(:user_id)
 product_names = Product.pluck(:name)
 brand_names = Brand.pluck(:name)
 
 autosuggest = Autosuggest.new(top_queries)
 autosuggest.parse_words product_names
@@ -97,10 +110,10 @@
 autosuggest.not_duplicates [["straws", "straus"]]
 autosuggest.block_words ["boom"]
 
 puts autosuggest.pretty_suggestions
 # or
-suggestions = autosuggest.suggestions
+suggestions = autosuggest.suggestions(filter: true)
 ```
 
 ## History
 
 View the [changelog](https://github.com/ankane/autosuggest/blob/master/CHANGELOG.md)