A search method that uses embeddings to understand the meaning behind queries and documents, enhancing retrieval relevance.
More about Semantic Search
Semantic Search is a method that goes beyond keyword matching to understand the intent and meaning behind user queries. It leverages embeddings generated by models like contextual embeddings to perform similarity-based matching between queries and documents.
Semantic search is widely used in retrieval augmentation pipelines, recommendation systems, and knowledge retrieval, providing accurate and context-aware results for user queries.
