Semantic search with Pinecone

Pinecone enables semantic search by indexing vector embeddings for fast similarity retrieval. The approach converts text into numerical representations that capture meaning, allowing queries to find conceptually related results rather than exact keyword matches. This method improves search relevance across large datasets.