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Elasticsearch x Virto Commerce

B2B commerce with large, complex catalogs needs search that can handle scale, relevance, and increasingly, semantic understanding of buyer intent. Elasticsearch provides that, and Virto Commerce includes a native integration that connects Virto’s catalog directly to Elasticsearch or OpenSearch indexes.

About Elasticsearch

Elasticsearch is a distributed search and analytics engine widely used to power full-text search, faceted filtering, and increasingly semantic search across large datasets. It supports both classic lexical search, matching on query terms, and semantic search using natural language processing models that match based on intent and contextual meaning rather than exact wording.

How Virto Integrates with Elasticsearch

Virto Commerce includes a native Elasticsearch module that implements Virto’s ISearchProvider interface, meaning Elasticsearch plugs directly into Virto’s existing search architecture rather than requiring a separate, parallel search layer. The module supports Elasticsearch and OpenSearch as interchangeable backends, configured through a small set of settings — server address, scope prefix for index naming, and authentication credentials.

The integration covers:

  • Indexed full-text search across products, orders, and other document types, each stored in its own index
  • Semantic search configuration through ELSER models and ingestion pipelines, for product and order data
  • Compatibility with both Elasticsearch 7.x through 9.x and Amazon OpenSearch Service
  • Debug mode for detailed request and response logging during implementation and troubleshooting

Beyond standard lexical search, Virto’s Elasticsearch integration supports semantic search using ELSER, Elastic’s sparse vector model, which generates text embeddings so that searches match based on meaning rather than exact keyword overlap. This is configured through an ingestion pipeline that processes specific fields, like product descriptions, into the embeddings Elasticsearch uses for semantic matching.

Implementation Approach

Virto Commerce integrates with enterprise systems through a combination of APIs, middleware, and integration accelerators — designed to reduce implementation effort while preserving the flexibility that enterprise-specific workflows require.

Key considerations: which Elasticsearch version or OpenSearch deployment you’re running, whether semantic search is required in addition to standard lexical search, catalog size and index scope, and authentication setup (API key versus username and password depending on deployment).

Use Cases

Supporting large, complex B2B catalogs

Enterprises with large product catalogs and many attributes need search that scales without sacrificing relevance. Because Virto’s Elasticsearch module implements its core search provider interface natively, catalog data flows into Elasticsearch’s indexing and querying without a separate integration layer in between.

THE RESULT

Search performance scales with catalog size, since Virto and Elasticsearch are working through the same native interface rather than a bolted-on connector.

Customer Proof

KW Parts & Cadillac used Elastic as part of a headless commerce setup supporting 4 million-plus products across 30 countries, built on Virto Commerce’s composable architecture.

GUIDE

Elasticsearch integration documentation