Implementing Spring Boot Semantic Search with Embeddings Learn how to integrate semantic search with embeddings in a Spring Boot application for more accurate search results Traditional search systems often rely on keyword matching, which can lead to inaccurate results when dealing with complex queries or nuanced language. This can be particularly problematic in applications where search is a critical component, such as e-commerce platforms or content management systems. In these cases, a more sophisticated approach to search is needed, one that can capture the semantic meaning of the query and return relevant results. Semantic search with embeddings offers a solution to this problem. By representing words and phrases as dense vectors in a high-dimensional space, embeddings enable search systems to capture subtle relationships between words and phrases, and to return results that are more accurate and relevant.…