Build Semantic Search at Speed

Semantic search is an effective tool to help customers and employees find relevant products or information. However, slow semantic search can hinder its usefulness. To address this issue, Lucidworks has implemented semantic search using the semantic vector search approach. This involves encoding text into numerical vectors and using a vector search engine like Milvus to quickly find the best matches for customer searches or user queries. Milvus uses FAISS technology, which is also used by Facebook in its machine learning initiatives. The combination of Milvus and other components allows semantic search to be fast and efficient while handling large datasets.