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SPECIFICTION
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Constructor vs Vespa

Constructor

constructor.com

Vespa

vespa.ai

Side by side

FigureConstructorVespa
Price from—Free
Free plan—Yes
Free trial—Yes
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
APIYesYes
Self-hosted—Yes
Plans published17
Spec score · AI Search and Discovery Platforms Software8.3 (#6)8.7 (#3)
Spec score · Search Databases8.3 (#9)8.7 (#5)
Spec score · Site Search Software8.3 (#8)8.6 (#3)
Founded2015Gartner Peer Insights lists Vespa’s founding year as 2023.
IntegrationsConstructor's partner page lists technology partners including Akeneo, Alokai, BigCommerce, commercetools, Contentful, Contentstack, Salesforce Commerce Cloud, Shopify, and VTEX.Vespa Cloud Enclave can run applications in customer accounts on AWS, Azure, or Google Cloud Platform.
ProductConstructor describes itself as an AI-native commerce discovery platform that interprets shopper behavior, context, and intent.Vespa is an AI search platform for online data-driven applications that combines retrieval, ranking, machine-learning inference, and real-time serving.

Plans

Constructor

  • Custom enterprise pricingPriced on request

Constructor pricing →

Vespa

  • StartupPrice not published
  • BasicPrice not published
  • CommercialPrice not published
  • EnterprisePrice not published
  • StartupFree
  • Enterprise *$0.18 a month
  • Self ManagedPriced on request

Vespa pricing →

In their own words

Constructor

Constructor is a cloud platform for ecommerce search and product discovery, founded in 2015. It uses shopper behavior, context and intent to personalize discovery across search, autosuggest, browse, recommendations, collections, quizzes and retail media. The AI Shopping Agent guides shoppers through natural-language product searches, while the Product Insights Agent answers personalized product questions. Merchant Intelligence Agent and Merchandiser Controls provide merchandising insights, dashboards, reports, controls and experiments. B2B capabilities cover account-segmented pricing and availability, personalization and discovery across large catalogs. Search options include hybrid, vector and faceted search, with zero-result reporting, search conversion tracking and result click analytics. Catalogs can be supplied through connectors, scheduled JSON, JSONL or CSV feeds, or REST API updates. APIs and browser or server-side client libraries support retrieving results, sending behavioral events and updating data or configurations; named client libraries include JavaScript, Swift and Kotlin. Constructor says it reduces personal data exposure using anonymous IDs, IP truncation and hashed identifiers. Pricing is not published; prospective customers are directed to book a demo.

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Vespa

Vespa is an AI search platform for online applications that use data, retrieval, ranking, machine-learning inference, and real-time serving. It supports vector and tensor search, positional text search, and queries over structured data. Ranking signals can be combined with tensor functions or machine-learned models, including ONNX and XGBoost formats; model inference can use ONNX Runtime. Vespa distributes functions across node clusters and allows cluster size changes without affecting queries or writes. Teams can self-manage deployments, use the Vespa Kubernetes Operator, or run on Vespa Cloud. Local deployment guidance lists Linux, macOS, and Windows 10 Pro on x86_64 or arm64 with Docker Desktop or Podman Desktop. Vespa Cloud includes encryption at rest and in transit, certificates for nodes and endpoints, and automatic operating system patching. Its trial provides $300 in credits without requiring a credit card, then stops the application when credits are used. Cloud plans have quotas, and Startup is limited to development zones. Pricing is listed from $0.05 a month, with metered resource rates.

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