Distributed AI & Data Serving Platform
6.9k 2026-04-30
vespa-engine/vespa
A powerful open-source platform for real-time AI inference, search, and data organization across vectors, tensors, text, and structured data at any scale.
Core Features
Real-time search and inference on diverse data types (vectors, tensors, text, structured data).
Scalable and distributed architecture for high availability and performance.
Supports machine-learned model evaluation over selected data within milliseconds.
Designed for use cases like search, recommendation, and personalization.
Continuously changing data corpus handling with high throughput.
Detailed Introduction
Vespa is an advanced open-source platform engineered to address the complexities of real-time AI and data serving. It enables organizations to perform high-performance search, make inferences, and organize vast quantities of vectors, tensors, text, and structured data. Built for scale and high availability, Vespa excels in scenarios requiring sub-100ms latency for machine-learned model evaluation and data retrieval, making it ideal for critical applications like search engines, recommendation systems, and personalization services.