diff --git a/lib/embeddings/semantic_search.rb b/lib/embeddings/semantic_search.rb
index 5a40ec2c..36f64051 100644
--- a/lib/embeddings/semantic_search.rb
+++ b/lib/embeddings/semantic_search.rb
@@ -114,7 +114,7 @@ module DiscourseAi
             SiteSetting.ai_embeddings_semantic_search_hyde_model,
           ).completion!(prompt, @guardian.user)
 
-        Nokogiri::HTML5.fragment(llm_response).at("ai").text.presence || llm_response
+        Nokogiri::HTML5.fragment(llm_response).at("ai")&.text&.presence || llm_response
       end
     end
   end
diff --git a/lib/embeddings/vector_representations/bge_large_en.rb b/lib/embeddings/vector_representations/bge_large_en.rb
index dbdd377f..19a25ad1 100644
--- a/lib/embeddings/vector_representations/bge_large_en.rb
+++ b/lib/embeddings/vector_representations/bge_large_en.rb
@@ -11,7 +11,8 @@ module DiscourseAi
               .dig(:result, :data)
               .first
           elsif SiteSetting.ai_hugging_face_tei_endpoint.present?
-            DiscourseAi::Inference::HuggingFaceTextEmbeddings.perform!(text).first
+            truncated_text = tokenizer.truncate(text, max_sequence_length - 2)
+            DiscourseAi::Inference::HuggingFaceTextEmbeddings.perform!(truncated_text).first
           elsif SiteSetting.ai_embeddings_discourse_service_api_endpoint.present?
             DiscourseAi::Inference::DiscourseClassifier.perform!(
               "#{SiteSetting.ai_embeddings_discourse_service_api_endpoint}/api/v1/classify",
diff --git a/lib/embeddings/vector_representations/multilingual_e5_large.rb b/lib/embeddings/vector_representations/multilingual_e5_large.rb
index 9789f199..e968f060 100644
--- a/lib/embeddings/vector_representations/multilingual_e5_large.rb
+++ b/lib/embeddings/vector_representations/multilingual_e5_large.rb
@@ -6,7 +6,8 @@ module DiscourseAi
       class MultilingualE5Large < Base
         def vector_from(text)
           if SiteSetting.ai_hugging_face_tei_endpoint.present?
-            DiscourseAi::Inference::HuggingFaceTextEmbeddings.perform!(text).first
+            truncated_text = tokenizer.truncate(text, max_sequence_length - 2)
+            DiscourseAi::Inference::HuggingFaceTextEmbeddings.perform!(truncated_text).first
           elsif SiteSetting.ai_embeddings_discourse_service_api_endpoint.present?
             DiscourseAi::Inference::DiscourseClassifier.perform!(
               "#{SiteSetting.ai_embeddings_discourse_service_api_endpoint}/api/v1/classify",
diff --git a/lib/inference/hugging_face_text_embeddings.rb b/lib/inference/hugging_face_text_embeddings.rb
index e8968dde..47dd3f27 100644
--- a/lib/inference/hugging_face_text_embeddings.rb
+++ b/lib/inference/hugging_face_text_embeddings.rb
@@ -5,7 +5,7 @@ module ::DiscourseAi
     class HuggingFaceTextEmbeddings
       def self.perform!(content)
         headers = { "Referer" => Discourse.base_url, "Content-Type" => "application/json" }
-        body = { inputs: content }.to_json
+        body = { inputs: content, truncate: true }.to_json
 
         api_endpoint = SiteSetting.ai_hugging_face_tei_endpoint