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AI app

Vespa

Open-source search and retrieval platform combining vector, text and structured search with machine-learned ranking, used to build product discovery and recommendations.

  • Paid

Listing data refreshed Built from public product pages and documentation. SourcesClaim this listing

ecommerceguide summary

Vespa is an open-source search and retrieval platform that combines vector, text and structured search with distributed machine-learned ranking, used to build product discovery, recommendations and RAG applications. It handles billions of constantly changing items, thousands of queries per second and latencies below 100 milliseconds. Run it self-hosted from GitHub or as managed Vespa Cloud, including Vespa on AWS. The vendor publishes a digital commerce industry page, a Farfetch recommendations case study and a free trial.

Why it stands out

Published by Vespa.ai AS as open source on GitHub, with a managed Vespa Cloud option and Vespa on AWS.

What Vespa does

ecommerceguide editorial
  • Vector, text and structured search combined in one query
  • Distributed machine-learned model inference applied for relevance ranking
  • Managed Vespa Cloud, Vespa on AWS, or self-hosted open source
  • Streaming search mode for personal and private data without indexing
  • Case studies include Spotify, Elicit, Yahoo and Farfetch
  • Farfetch implemented a recommendation algorithm under 100ms latency
  • Docs, sample applications, developer centre and Slack community
  • Free trial offered; pricing page lists no plan details

How ecommerce teams could use it

ecommerceguide editorial

Illustrative scenarios written by ecommerceguide from the product's documented capabilities. They are not customer case studies.

  1. Retailer with a large catalogue building its own site search

    Combining keyword matching, embeddings and structured filters such as stock and category in one query

    Intended outcomeVespa serves vector, text and structured search together with machine-learned ranking applied during retrieval

  2. Team building personalised product recommendations

    Retrieving eligible products then scoring them with a machine-learned model at query time

    Intended outcomeVespa evaluates ranking models across retrieved items and returns results with latencies below 100 milliseconds

  3. Commerce engineering team adding a RAG assistant over product and content data

    Supplying a generative model with hybrid search results rather than vector similarity alone

    Intended outcomeVespa handles hybrid retrieval, relevance models and multi-vector representations, with real-time updates to indexed data

Who it suits

ecommerceguide editorial

Best for

You have engineers who will build and operate a retrieval application, and want vector, text and structured search with machine-learned ranking in one platform, self-hosted or on Vespa Cloud.

Probably not for

You need a packaged store app, since Vespa lists no ecommerce platform integrations or app store listing and publishes no plan prices.

Business size
Any stagePricing page shows no plans or bounds, and Vespa presents itself as a self-serve developer platform with a free trial.

Vespa pricing

From the vendor

As published by the vendor. Checked . Confirm current prices on the vendor's site.

Model
Paid
Starting price
$0.10
PlanMonthlyWhat is included
StartupNot listedPlan for testing and getting your business started with restricted featuresLow fixed unit cost
BasicNot listedSuitable for applications that don't need 24/7 operational support
CommercialNot listedSuitable for production applications with 24/7 operational support
EnterpriseNot listedSuitable for enterprises with 24/7 deployment supportMinimum monthly spend of $20,000
Self ManagedNot listedSelf Managed Vespa deployment including supportContact Sales

Prices vary based on resources allocated and plans chosen. Each support level sets a unit price for machine resources.

Often used alongside

ecommerceguide editorial

What the vendor and reviewers say

From the vendor

Customers named by Vespa

  • Metal AI
  • Clarm
  • Perplexity
  • Spotify
  • Elicit
  • Yahoo
  • Onyx
  • Mimeta – Civsy
  • Qwant
  • Vinted
  • RavenPack Bigdata.com

Named on the vendor's own site (source (opens in a new tab)). Not confirmed with the customers.

Security and compliance claims

  • GDPR

As stated by the vendor (source (opens in a new tab)). Ask the vendor for certificates before relying on them.

Categories and use cases