The implementation of semantic search based on large model vector embedding is a significant milestone in AI's journey. By leveraging the power of numbers, AI has bridged the knowledge gap between humans and machines. With vector embedding, AI can comprehend and process vast amounts of unstructured text, identifying patterns, relationships, and intent with unprecedented precision. The expansion of semantic search has opened doors to more refined and accurate understanding, propelling AI towards a more human-like interface.