Vespa
Open SourceFundedAI search platform combining vector search, machine learning, and real-time inference
About Vespa
Vespa.ai is an open-source AI search platform designed to develop and operate large-scale applications that integrate big data, vector search, machine-learned ranking, and real-time inference. It supports complex ranking and decisioning through native tensor capabilities, enabling enterprises to build real-time AI applications such as retrieval-augmented generation (RAG), recommendation systems, and intelligent search with high accuracy and low latency. The platform is engineered to scale to billions of dynamic data items and thousands of queries per second with latencies below 100 milliseconds.
Targeted at large enterprises, Vespa.ai is particularly suited for industries requiring advanced search and AI capabilities, including AdTech, digital commerce, fintech, healthcare, market intelligence, and travel. Its hybrid search capabilities combine vector similarity with structured data and multi-vector representations, allowing for highly relevant search results and personalized recommendations. Vespa also supports private and personal search modes optimized for cost efficiency and data privacy. The platform’s continuous deployment, automated scalability, and strong security features make it a robust solution for enterprises seeking to embed AI-driven search and recommendation functionalities into their applications.
Key Capabilities
- ✓Vector, text, and structured data search
- ✓Distributed machine-learned ranking
- ✓Real-time AI inference at scale
- ✓Hybrid search with multi-vector representations
- ✓Personalized recommendation and navigation
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