Update keybert/_llm.py

Co-authored-by: Maarten Grootendorst <[email protected]>

keybert/_llm.py

@@ -45,7 +45,7 @@ def extract_keywords(
             check_vocab: Only return keywords that appear exactly in the documents
             candidate_keywords: Candidate keywords for each document
             threshold: Minimum similarity value between 0 and 1 used to decide how similar documents need to receive the same keywords.
-            embeddings: TODO
+            embeddings: The embeddings of each document.
 
         Returns:
             keywords: The top n keywords for a document with their respective distances