Vespa

Vespa Overview

Vespa is a comprehensive search engine and vector database that supports vector search, lexical search, and search in structured data. It integrates machine-learned model inference, allowing real-time AI application to data. Vespa is scalable and highly available, making it suitable for creating production-ready search applications of any scale and feature combination. It is also used for recommendation, personalization, and targeting by evaluating recommender models over content items. Vespa is also ideal for Conversational AI and semi-structured navigation applications like e-commerce, providing all the necessary features with excellent performance.

Vespa Highlights

• Vespa supports vector search (ANN), lexical search, and search in structured data, all in the same query.
• It allows real-time AI application to data through integrated machine-learned model inference.
• Vespa is ideal for recommendation, personalization, and targeting, as well as Conversational AI and semi-structured navigation applications.