diff --git a/examples/Gemfile b/examples/Gemfile
deleted file mode 100644
index d77ec765..00000000
--- a/examples/Gemfile
+++ /dev/null
@@ -1,9 +0,0 @@
-source "https://rubygems.org"
-
-gemspec path: ".."
-
-gem "activerecord"
-gem "disco"
-gem "elasticsearch"
-gem "opensearch-ruby"
-gem "sqlite3"
diff --git a/examples/elasticsearch_knn.rb b/examples/elasticsearch_knn.rb
deleted file mode 100644
index a779c3b0..00000000
--- a/examples/elasticsearch_knn.rb
+++ /dev/null
@@ -1,62 +0,0 @@
-require "active_record"
-require "disco"
-require "elasticsearch"
-require "searchkick"
-
-ActiveRecord::Base.establish_connection adapter: "sqlite3", database: ":memory:"
-ActiveRecord::Schema.verbose = false
-ActiveRecord::Schema.define do
-  create_table :movies do |t|
-    t.string :name
-    t.text :embedding
-  end
-end
-
-class Movie < ActiveRecord::Base
-  # remove "coder: " for Active Record < 7.1
-  serialize :embedding, coder: JSON
-
-  searchkick \
-    mappings: {
-      properties: {
-        embedding: {
-          type: "dense_vector",
-          dims: 20,
-          index: true,
-          similarity: "cosine"
-        }
-      }
-    },
-    merge_mappings: true
-
-  def search_data
-    {
-      name: name,
-      embedding: embedding
-    }
-  end
-end
-
-data = Disco.load_movielens
-recommender = Disco::Recommender.new(factors: 20)
-recommender.fit(data)
-
-movies = []
-recommender.item_ids.each do |item_id|
-  movies << {name: item_id, embedding: recommender.item_factors(item_id).to_a}
-end
-Movie.insert_all!(movies)
-
-Movie.reindex
-
-movie = Movie.find_by!(name: "Star Wars (1977)")
-body = {
-  knn: {
-    filter: {bool: {must_not: {term: {_id: movie.id}}}},
-    field: "embedding",
-    k: 5,
-    num_candidates: 5,
-    query_vector: movie.embedding
-  }
-}
-pp Movie.search(body: body).map(&:name)
diff --git a/examples/opensearch_knn.rb b/examples/opensearch_knn.rb
deleted file mode 100644
index dddc6d1a..00000000
--- a/examples/opensearch_knn.rb
+++ /dev/null
@@ -1,74 +0,0 @@
-require "active_record"
-require "disco"
-require "opensearch-ruby"
-require "searchkick"
-
-ActiveRecord::Base.establish_connection adapter: "sqlite3", database: ":memory:"
-ActiveRecord::Schema.verbose = false
-ActiveRecord::Schema.define do
-  create_table :movies do |t|
-    t.string :name
-    t.text :embedding
-  end
-end
-
-class Movie < ActiveRecord::Base
-  # remove "coder: " for Active Record < 7.1
-  serialize :embedding, coder: JSON
-
-  searchkick \
-    settings: {
-      index: {
-        knn: true
-      }
-    },
-    mappings: {
-      properties: {
-        embedding: {
-          type: "knn_vector",
-          dimension: 20,
-          method: {
-            name: "hnsw",
-            space_type: "cosinesimil",
-            engine: "lucene"
-          }
-        }
-      }
-    },
-    merge_mappings: true
-
-  def search_data
-    {
-      name: name,
-      embedding: embedding
-    }
-  end
-end
-
-data = Disco.load_movielens
-recommender = Disco::Recommender.new(factors: 20)
-recommender.fit(data)
-
-movies = []
-recommender.item_ids.each do |item_id|
-  movies << {name: item_id, embedding: recommender.item_factors(item_id).to_a}
-end
-Movie.insert_all!(movies)
-
-Movie.reindex
-
-movie = Movie.find_by!(name: "Star Wars (1977)")
-# uses efficient filtering available in OpenSearch 2.4+
-# https://opensearch.org/docs/latest/search-plugins/knn/filter-search-knn/
-body = {
-  query: {
-    knn: {
-      embedding: {
-        filter:  {bool: {must_not: {term: {_id: movie.id}}}},
-        vector: movie.embedding,
-        k: 5
-      }
-    }
-  }
-}
-pp Movie.search(body: body).map(&:name)