Exactly in the same place as you with Elastic Search (8.11). Went down the vector path to get better matches for adjectives, verbs and negations ( "room with no skylight" vs. "room with skylights" & "room with a large skylight"). Different dataset obviously, but I think I get slightly better results than your examples and it might be worth looking for a different sentence transformer (I tried a few and settled on roberta-base-nli-stsb-mean-tokens).
was reading through open llama, looks like
way to get pertinent results is via different ranking algorithm and score based on convergence. then shove that back into the LLM
