diff --git a/lib/langchain/vectorsearch/weaviate.rb b/lib/langchain/vectorsearch/weaviate.rb
index 46d25458d..5d7545488 100644
--- a/lib/langchain/vectorsearch/weaviate.rb
+++ b/lib/langchain/vectorsearch/weaviate.rb
@@ -9,7 +9,7 @@ class Weaviate < Base
     #     gem "weaviate-ruby", "~> 0.8.9"
     #
     # Usage:
-    #     weaviate = Langchain::Vectorsearch::Weaviate.new(url:, api_key:, index_name:, llm:)
+    #     weaviate = Langchain::Vectorsearch::Weaviate.new(url: ENV["WEAVIATE_URL"], api_key: ENV["WEAVIATE_API_KEY"], index_name: "Docs", llm: llm)
     #
 
     # Initialize the Weaviate adapter
@@ -71,6 +71,22 @@ def update_texts(texts:, ids:)
       end
     end
 
+    # Deletes a list of texts in the index
+    # @param ids [Array] The ids of texts to delete
+    # @return [Hash] The response from the server
+    def remove_texts(ids:)
+      raise ArgumentError, "ids must be an array" unless ids.is_a?(Array)
+
+      client.objects.batch_delete(
+        class_name: index_name,
+        where: {
+          path: ["__id"],
+          operator: "ContainsAny",
+          valueTextArray: ids
+        }
+      )
+    end
+
     # Create default schema
     # @return [Hash] The response from the server
     def create_default_schema
diff --git a/spec/fixtures/vectorsearch/weaviate/batch_delete.json b/spec/fixtures/vectorsearch/weaviate/batch_delete.json
new file mode 100644
index 000000000..e09eff96d
--- /dev/null
+++ b/spec/fixtures/vectorsearch/weaviate/batch_delete.json
@@ -0,0 +1,20 @@
+{
+  "dryRun": false,
+  "match": {
+    "class": "Products",
+    "where": {
+      "operands": null,
+      "operator": "ContainsAny",
+      "path": ["__id"],
+      "valueTextArray": ["999"]
+    }
+  },
+  "output": "minimal",
+  "results": {
+    "failed": 0,
+    "limit": 100000,
+    "matches": 1,
+    "objects": null,
+    "successful": 1
+  }
+}
diff --git a/spec/langchain/vectorsearch/weaviate_spec.rb b/spec/langchain/vectorsearch/weaviate_spec.rb
index c40f92f59..c09a74fb7 100644
--- a/spec/langchain/vectorsearch/weaviate_spec.rb
+++ b/spec/langchain/vectorsearch/weaviate_spec.rb
@@ -7,7 +7,7 @@
     described_class.new(
       url: "http://localhost:8080",
       api_key: "123",
-      index_name: "products",
+      index_name: "Products",
       llm: Langchain::LLM::OpenAI.new(api_key: "123")
     )
   }
@@ -55,7 +55,7 @@ def stub(id)
       ).to receive(:batch_create)
         .with(
           objects: [{
-            class: "products",
+            class: "Products",
             properties: {__id: id.to_s, content: "Hello World"},
             vector: [-0.0018150936, 0.0017554426, -0.022715086]
           }]
@@ -120,6 +120,23 @@ def stub(id)
     end
   end
 
+  describe "#remove_texts" do
+    let(:fixture) { JSON.parse(File.read("spec/fixtures/vectorsearch/weaviate/batch_delete.json")) }
+
+    let(:record) {
+      [{"_additional" => {"id" => "372ba500-01af-4448-aa03-21f3dd25a456"}}]
+    }
+
+    before do
+      allow(subject.client.query).to receive(:get).and_return(record)
+      allow(subject.client.objects).to receive(:batch_delete).and_return(fixture)
+    end
+
+    it "removes texts" do
+      expect(subject.remove_texts(ids: [1]).dig("results", "successful")).to eq(1)
+    end
+  end
+
   describe "#similarity_search" do
     let(:fixture) { JSON.parse(File.read("spec/fixtures/vectorsearch/weaviate/search.json")) }
 
@@ -128,7 +145,7 @@ def stub(id)
         subject.client.query
       ).to receive(:get)
         .with(
-          class_name: "products",
+          class_name: "Products",
           near_vector: "{ vector: [-0.0018150936, 0.0017554426, -0.022715086] }",
           limit: "4",
           fields: "__id content _additional { id }"
@@ -158,7 +175,7 @@ def stub(id)
         subject.client.query
       ).to receive(:get)
         .with(
-          class_name: "products",
+          class_name: "Products",
           near_vector: "{ vector: [0.1, 0.2, 0.3] }",
           limit: "4",
           fields: "__id content _additional { id }"