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View detailsVespa
An open-source platform for search, recommendations, and retrieval-augmented generation at scale.
Vespa is an open-source platform for building AI-powered search and recommendation applications. Originally built at Yahoo, it combines search, ranking, and machine learning in one system, so you can serve personalised results with custom ranking models in real time.
Key Features
- Open-source platform for search and recommendations
- Vector, keyword, and hybrid retrieval
- Custom ranking models evaluated at query time
- Online machine learning for personalisation
- Built for large-scale, low-latency serving
- Managed cloud option available
Pricing
| Plan | Price | Details |
|---|---|---|
| Pricing | Check official site | See the official site for current plans. |
Prices as listed in 2026 research. Always check the official site for the latest price — plans change. Free plan: Yes — it has a free plan.
Popular with: Developers
How it works
Vespa is designed for teams that need more than keyword search: it supports vector search, hybrid retrieval, and online machine learning, with ranking models evaluated at query time. It powers large-scale recommendation and search systems where relevance and latency both matter.
Vespa is free and open source, with a managed cloud option for teams that prefer not to run it themselves. It suits experienced search teams building large, custom retrieval systems.
Pros and Cons
✓ Pros
- Free and open source
- Search, ranking, and ML in one system
- Proven at very large scale
- Flexible ranking for relevance tuning
✗ Cons
- Complex to learn and operate
- Overkill for simple search needs
- Managed cloud pricing is not published
Frequently Asked Questions
Is Vespa free?
Yes — Vespa has a free plan. Free (open source); managed cloud — check official site
What is Vespa best for?
search teams building large-scale AI search and recommendation systems with custom ranking.
What kind of tool is Vespa?
Vespa is a Data & Analytics tool on VerlumoAI.
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View detailsLast reviewed: November 2026