Vespa is an open-source AI search platform that combines vector search, full-text search, tensor fields, and structured data organization with machine-learned model inference at serving time. It supports use cases such as search, recommendation, personalization, and RAG (Retrieval Augmented Generation) applications. The platform can scale to handle large corpuses while evaluating ML models over retrieved data at serving time.