Most of the commercial and open source offerings for hybrid search seem to be using BM25 + vector similarity search based on embeddings. The results are combined using Reciprocal Rank Fusion (RRF).

The RRF paper is impressive in how incredibly simple it is (the paper is only 2 pages): https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf