-

Elasticsearch Open Inference API and Playground Now Support Amazon Bedrock

Developers now have more LLMs to choose from when iterating and building production-ready RAG applications

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC) announced support for Amazon Bedrock-hosted models in Elasticsearch Open Inference API and Playground. Developers now have the flexibility to choose any large language model (LLM) available on Amazon Bedrock to build production-ready RAG applications.

“Our latest integration with Amazon Bedrock continues our focus on making it easier for AWS developers to build next-generation search experiences,” said Shay Banon, founder and chief technology officer at Elastic. “By leveraging Elasticsearch and Amazon Bedrock’s extensive model library, developers can deliver transformative conversational search.”

Developers using Elasticsearch and models hosted on Amazon Bedrock can now store and use embeddings, refine retrieval to ground answers with proprietary data and more. Amazon Bedrock models are also available in the low-code playground experience, giving developers more choice when A/B testing LLMs.

Support for Amazon Bedrock is available today, read the Inference API and Playground blogs to get started.

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 Global PR
PR-team@elastic.co

Elastic N.V.

NYSE:ESTC

Release Versions

Contacts

Media Contact
Elastic Global PR
PR-team@elastic.co

More News From Elastic N.V.

Elastic Recognized as a Leader in the Gartner® Magic Quadrant™ for Enterprise AI Search 

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC) today announced that Gartner®, Inc. named it a Leader in the Magic Quadrant™ for Enterprise AI Search, positioning Elastic as the highest for Ability to Execute and furthest for Completeness of Vision. In addition, Elastic ranked first or second in every Use Case evaluated in the Gartner Critical Capabilities for Enterprise AI Search report. Elastic credits its position as a Leader to providing a foundational context layer that retrieves enter...

Elastic Introduces jina-ocr-v1: End-to-End Document Processing in a Single Frontier-Grade Model

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC) today announced the launch of jina-ocr-v1, a new optical character recognition (OCR) model for end-to-end document processing. At 574M active parameters, it delivers frontier-grade accuracy in a model roughly one tenth the size of the benchmark leader. Jina-ocr-v1 accurately converts complex visual documents into structured, machine-readable text, such as Markdown, in a single pass, making it easy to search, train models, and build agentic ap...

Elastic Announces General Availability of Cross-Project Search for Querying Across Serverless Projects Without Moving Data

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC) today announced the general availability of cross-project search (CPS) for Elastic Cloud Serverless, enabling teams to query across multiple serverless projects without moving or duplicating data. Security analysts, SREs and app engineers get a unified search experience across regions, cloud providers and project types, without the operational overhead of centralizing data. Organizations keep data in separate projects for good reasons, such a...
Back to Newsroom