Semantic Search Over Chat: Why Embeddings Are Your Real AI Backend

While chat completions dominate the headlines, semantic search offers a more practical and cost-effective foundation for AI-powered features. By matching meaning instead of keywords through embeddings, developers can solve real search problems like understanding user intent across different terminology. ASP.NET Core makes this approach accessible within hours, enabling enterprises to deliver genuinely intelligent search without the complexity or expense of conversational AI.