
Vespa
AI search and serving structured data are provided by Vespa, an open-source software platform.

About Vespa
Vespa is an open-source platform for searching, making inferences over, and organizing vectors, tensors, text, and structured data at serving time. The GitHub repository contains the code needed to build and run Vespa, and development takes place there in public. The source describes use cases such as search, recommendation, and personalization, where a system selects a subset of data from a large, continuously changing corpus, evaluates machine-learned models over it, and returns results, typically in under 100 milliseconds.
The repository is licensed under Apache 2.0. A new release is built from the master branch each weekday morning (CET) from Monday through Thursday. The homepage also links to a free cloud trial for running applications, and the source does not state the trial's terms or limits.
Key features
- Search and inference over vectors, tensors, text, and structured data at serving time
- Selects data subsets from large corpora and evaluates machine-learned models over them
- Organizes and aggregates results before returning them, typically within 100 milliseconds
- Repository includes the code to build and run Vespa independently
- New releases built from the master branch Monday through Thursday mornings CET
- Free cloud trial for running applications, according to the homepage
- Source code is licensed under the Apache 2.0 license
- All development is visible in the public repository
- Supports search over vectors, tensors, text, and structured data in one platform
Vespa at a glance
- Category
- Development › APIs & Databases
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for APIs & Databases

Vespa alternatives
Tools and sites you could use instead, ranked by how closely they match.
Distributed vector search is provided by Vald, an engine designed to scale across deployments.
ParadeDB adds full text search, vector retrieval, and aggregations to PostgreSQL.
PostgreSQL vector search can use pgvecto.rs, an extension described as scalable and low latency.
Vector search and storage are the focus of VectorDB, a Python vector database project.
Distributed search and analytics are provided by Elasticsearch, an open-source engine for indexed data.
Vector similarity search is provided by Qdrant, an open-source search engine written in Rust.
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