Semantic search uses embeddings and vector similarity to find results based on meaning rather than exact keyword matches. It understands synonyms, context, and intent. This powers modern search engines, RAG systems, and knowledge bases. Tools like Algolia, Elasticsearch, and Pinecone offer semantic search capabilities.








