Semantic Search

Semantic search often uses embeddings or language models to represent queries and documents so conceptually related content can be matched even when the wording differs. It is useful for knowledge bases, support search, document retrieval, ecommerce, and retrieval-augmented generation. It is commonly used in systems that generate or retrieve language, code, images, or other content and often works alongside prompts, tools, embeddings, and external knowledge.