Vespa

Vespa operates as an AI Search Platform that integrates big data, vector search, machine-learned ranking, and real-time inference. It enables the development of large-scale applications by combining structured data, text, and images, ensuring high performance and scalability.

Vespa is powered by a core engine written in C++ that manages memory and implements core indexing and searching algorithms. It supports vector databases, machine-learned ranking, and real-time AI capabilities for efficient data processing.

Vespa's main features include vector and tensor search, machine-learned ranking, structured search, and dynamic snippet generation. It supports continuous deployment and upgrades, ensuring high performance and scalability for large datasets.

Vespa utilizes machine learning techniques for ranking and inference, enabling real-time AI applications such as recommendation systems and intelligent search. It supports hybrid search combining vector similarity and relevance models.