Can anyone suggest how typesense works while we would like to do Semantic search ? Reason behind this question is I would like to use use typesense for our movie search where I may keep a combination of Title, Description, Language, Genres, keywards etc as my vector creation String. Creating a vector with Sentence transformers "all-mpnet-base-v2" and adding a vec key with the json and uploaded it to typesense. While querying with different type of sentence it looks like I am not getting closest match. I thing I need to do something more. Do I need to train database or need to use different vector creation model ? Any suggestion will be highly appreciated. -Thanks

Could you make sure you have spaces between each of the field values when you concatenate them when you send them to the model?

Yes. I placed space between words and put comma between keywords.