Regarding RAG. Is reranking helpful if your i query input and the list of documents only contain atmost 1-3 sentences?

I have 30 thousand documents each with 2-3 sentences. I want to retrieve sentences relevant to a query. Like "Ford Car Models" . I embed all the text and extract top 100 results through cosine similarity with query. Is it worth doing reranking afterwards to get the most relevant results at top? or does that only helps when the input document size is huge?