We explore how Vespa’s support for lexical, vector, and hybrid search methods gives enterprises strategic flexibility in tackling a range of retrieval challenges. With its ability to process hundreds of thousands of queries per second with low latency, Vespa is pushing the boundaries of what’s possible in enterprise-scale AI search.

Beyond vectors, we discuss how Vespa’s full-text search, structured filtering, ML-powered ranking, and real-time indexing combine to create a powerful, production-ready stack for next-gen search applications.