It could be due to a few common issues. Here's a guide to troubleshooting and then checking the quality of your similarity search. 1)check data quality if there is noise in the data, embedding might not capture the right context. 2)try different embedding models. Sometimes, certain model works better for specific types of content. 3)inspect Embedding Distance:After retrieving search results, inspect the distance or similarity scores (if available). This will help you understand whether the embeddings are close enough to be considered similar.