Vespa

Vespa is a distributed serving engine designed for building and scaling AI-powered applications. It unifies vector search, text search, structured data queries, and machine-learned ranking in a single platform, enabling developers to move beyond simple keyword matching into semantic and personalized retrieval.

Highlights

• Combines vector embeddings, traditional full-text search, and structured queries in one system
• Handles billions of documents with sub-100ms latency and automatic horizontal scaling
• Integrated machine learning inference for learned ranking and personalization
• Built-in support for retrieval-augmented generation (RAG) and recommendation systems
• Real-time updates and continuous deployment without downtime
• Fully managed hosting option with enterprise security features

Vespa is built for developers and engineering teams who need production-grade search infrastructure. It's particularly suited for e-commerce platforms, content discovery systems, and AI applications that require fast, relevant retrieval over large datasets. The platform offers both self-hosted and managed cloud deployment options.