-

Elastic Announces Elastic Rerank Model to Power Up Semantic Search

New cross-encoder reranking model amplifies search experiences through semantic boosting and no required reindexing

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced Elastic Rerank, a cross-encoder reranking model that offers powerful semantic search capabilities with no required reindexing, and high relevance, top performance, and efficiency for text search. Developers can now semantically boost keyword search with little to no change to how data is indexed and searched, providing flexibility and control over costs.

“Reranking models provide a semantic boost to any search experience,” said Steve Kearns, general manager, Search at Elastic. “Building a reranking model into the Elasticsearch Open Inference API makes Elastic Rerank effortless to load and use in search pipelines. It allows users to quickly apply the accuracy benefits of semantic ranking to their Elasticsearch data just by adding a few parameters to existing queries.”

Built on the DeBERTa v3 architecture, the Elastic Rerank model outperforms other significantly larger reranking models. Testing indicates a 40% uplift on a broad range of retrieval tasks and up to 90% on question-answering data sets.

Support for Elastic Rerank via the Inference API is available on Elasticsearch Serverless and in Elasticsearch 8.17. Read the Elastic blog for more details.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

Contacts

Media Contact
Elastic PR
PR-team@elastic.co

Industry:

Elastic N.V.

NYSE:ESTC
Release Versions
English

Contacts

Media Contact
Elastic PR
PR-team@elastic.co

More News From Elastic N.V.

Elastic Delivers GPU Infrastructure to Self-Managed Elasticsearch Customers via Cloud Connect

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced the availability of Elastic Inference Service (EIS) via Cloud Connect for self-managed Elasticsearch deployments. Organizations can now gain on-demand access to cloud-hosted inference capabilities without managing GPU infrastructure, all while maintaining their core infrastructure and data on-premises. Users also gain immediate access to models by Jina.ai, an Elastic company and a leader in open-source multil...

Elastic Adds High-Precision Multilingual Reranking to Elastic Inference Service with Jina Models

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today made two Jina Rerankers available on Elastic Inference Service (EIS), a GPU-accelerated inference-as-a-service that makes it easy to run fast, high-quality inference without complex setup or hosting. These rerankers bring low-latency, high-precision multilingual reranking to the Elastic ecosystem. As generative AI prototypes move into production-ready search and RAG systems, users run into relevance and inference...

Elastic Announces General Availability of Agent Builder with Expanded Capabilities

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced the general availability of Agent Builder, a complete set of capabilities that helps developers quickly build secure, reliable, context-driven AI agents. AI agents need the right context to perform complex tasks accurately. Built on Elasticsearch, Agent Builder excels at context engineering by delivering relevance in a unified platform that scales, searches, and analyzes enterprise data. It dramatically simpl...
Back to Newsroom