Traditional keyword search fails when customers describe products in natural language. AI-powered search with vector embeddings understands user intent — "warm winter jacket for hiking" returns relevant results even if no product contains those exact words. Opensolr combines BGE-m3 semantic search with classic BM25 keyword matching for the best of both worlds.