Semantic retrieval significantly outperforms traditional grep-based search for LLM code queries, reducing token usage while improving speed.

Semantic retrieval demonstrates 2.4x faster performance compared to standard grep-based code search methods

Token consumption is reduced by 5.6x when using semantic retrieval over traditional search approaches

The benchmark comparison comes from Castnet Technology's Mnemosyne tool, which implements semantic search for code queries

This efficiency improvement is particularly valuable for LLM applications where token usage directly impacts costs and latency