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Vespa

Distributed AI search platform for retrieval, ranking, and inference

As of 29 August 2026, Vespa is free to use. Vespa is an open-source distributed serving engine that unifies vector search, text retrieval, machine learning ranking, and real-time inference. Softwr lists it under Databases. Vespa is made by Vespa.ai AS, launched in 2023, available on Web, Self-hosted.

Overview

What Vespa does

Vespa is a distributed serving engine that enables organizations to query, organize, and make inferences across vectors, tensors, text and structured data at scale. The platform unifies retrieval, ranking, and ML inference in a single system, supporting billions of data items and thousands of queries per second with sub-100 millisecond latencies. Vespa originated from a web search engine built at Yahoo! over 20 years ago and was open-sourced in 2017, evolving to handle modern generative AI workloads including retrieval-augmented generation (RAG), semantic search, and recommendation engines. The company provides both open-source and fully managed cloud options, allowing enterprises in digital commerce, financial services, media, and life sciences to deploy advanced search applications without managing complex infrastructure.

What people use it for

  • Build RAG systems with semantic search over documents
  • Power e-commerce search with ML ranking
  • Create recommendation engines for personalization
  • Implement real-time search for news or feeds
  • Deploy private semantic search over sensitive data

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Vespa.

  • Pricing not publicly listed, requires contacting sales
  • Steeper learning curve compared to simpler search tools
  • Operational complexity for self-hosted deployments
  • Smaller ecosystem compared to cloud-native alternatives

Cross-shopped

What people choose instead of Vespa

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Vespa logo
    Vespa
    vs
    Pinecone logo
    Pinecone

    Pinecone: Managed vector database with simpler pricing and API

  • Vespa logo
    Vespa
    vs
    Weaviate logo
    Weaviate

    Weaviate: Open-source vector database with cloud hosting option

  • Vespa logo
    Vespa
    vs
    Milvus logo
    Milvus

    Milvus: Open-source vector database by Zilliz for scalable search

Capabilities

Features

  • Vector search

    Semantic search on billions of vectors

  • Text and structured search

    Hybrid search across multiple data types

  • Machine-learned ranking

    Distributed ML inference for ranking results

  • Real-time serving

    Sub-100ms latency with continuous deployment

  • SQL interface

    Query in Vespa Query Language (YQL)

  • Automatic scaling

    Horizontal scaling without downtime

  • Open-source

    Apache 2.0 licensed with active community

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Is Vespa open-source?

Yes, Vespa is open-source under the Apache 2.0 license. The code is available on GitHub, and you can self-host or use the managed cloud service.

Source
What latency can Vespa achieve?

Vespa is designed for sub-100 millisecond latencies with thousands of queries per second, suitable for real-time search and recommendation applications.

Source
Does Vespa support vector search?

Yes, Vespa provides native vector search capabilities alongside text, structured data, and tensor operations for building comprehensive search and AI applications.

Source
What is the pricing model for Vespa Cloud?

Vespa Cloud pricing is not publicly listed and requires contacting their sales team to discuss your specific use case and scale requirements.

Source

Behind it

Who makes Vespa

Company
Vespa.ai AS
Based in
Trondheim, Norway
Founders
Jon Bratseth, Kim Omar Johansen, Frode Lundgren

Timeline

Vespa over time

  1. Funding2023-11-01

    Raised $31M Series A from Blossom Capital as corporate spinout from Yahoo

    Source
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Keep looking

Where to go from Vespa

Best Databases software for

Compare Vespa with

Other Databases software

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    Free plan11 researched notes
  • The heart of the Elastic Stack for search and analytics

    Free, then $16.4/mo11 researched notes
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    Open source8 researched notes
  • Open-source typo-tolerant search engine as an Algolia alternative

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  • Multi-model database combining documents, graphs, vectors and time-series

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  • Open-source search and analytics suite forked from Elasticsearch

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  • Enterprise search platform built on Apache Lucene

    Open source10 researched notes
  • AI-native product discovery platform for ecommerce

    Pricing on request11 researched notes
  • Apache 2.0 vector and full-text search engine that runs as an embedded library, a single server or a distributed cloud service.

    Free plan14 researched notes
  • High-performance vector database for similarity search and embedding-based retrieval

    Free plan13 researched notes
  • Live context layer for AI agents using real-time SQL transformations

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  • The evolution of spreadsheets

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  • The AI-powered database built for demanding enterprise workloads

    Free, then $99/mo14 researched notes
  • NetApp-owned managed service for Cassandra, Kafka, OpenSearch, PostgreSQL and Cadence with a bring-your-own-cloud model

    Pricing on request12 researched notes
  • Hosted no-code database and web app builder priced by stored records and storage, with unlimited user accounts on every plan.

    From $59/mo14 researched notes
  • Embedded retrieval library over the Apache 2.0 Lance columnar format, with proprietary Cloud and Enterprise tiers for serving at scale.

    Pricing on request14 researched notes

Softwr does not host reviews and shows no star rating for Vespa, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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