What is mirroring in an AI search engine?
Mirroring in an AI search engine refers to creating and maintaining an up-to-date copy of data from various sources within the search engine's index.
Mirroring involves replicating data from diverse sources (like databases, websites, or document repositories) into the search engine's index. This ensures the search engine can access the most current information without constantly querying the sources. Mirroring helps improve search performance, reduces source system load, and allows faster and more efficient indexing and retrieval of data. It's crucial for maintaining search relevance and providing users with the most up-to-date results.
