Semantic search is one of the retrieval capabilities that makes AI agents useful in messy real-world environments. Users rarely phrase questions exactly like the source material. Semantic search helps bridge that gap.
For SMBs, this is especially useful for internal knowledge, customer support, sales enablement, and operations. Employees can ask natural questions and the agent can find relevant policies, SOPs, notes, case studies, pricing rules, or service documentation without requiring perfect search syntax.