Vespa
Open-source big data serving engine with built-in vector search and ML inference.
About
Vespa is a serving engine for computing over large datasets at request time, combining full-text search, approximate vector search, structured filtering, and machine-learned model inference in one horizontally scalable system. Rather than gluing a vector database to a separate ranking service, applications express retrieval and ranking together: Vespa selects candidate data, evaluates tensors and ML models over it, and returns organized results typically within 100 milliseconds, all while absorbing continuous real-time writes. The engine is written in C++ and Java, originated at Yahoo where it serves hundreds of thousands of queries per second, and is used by large services for search, recommendation, RAG, and personalization at billion-document scale. It is open source under Apache 2.0 with frequent releases from master, deployable self-hosted or on the managed Vespa Cloud. Teams building serious search or recommendation infrastructure choose it when they outgrow single-purpose vector stores and need ranking logic to run next to the data.
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Details
- Category
- Vector Databases & Embeddings
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Advanced (4/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026
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