Elastic Brings Hybrid Retrieval to Microsoft Semantic Kernel

Elastic is the first vector database to support blended text and semantic retrieval techniques for .NET developers for more relevant, accurate results for search queries

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI company, announced the availability of its hybrid search capabilities for Microsoft’s Semantic Kernel project, making Elastic’s vector database the first to feature this capability. Users can now combine multiple search techniques when using Elasticsearch with Semantic Kernel, enhancing information retrieval and delivering the most significant results to queries.

"What sets Elastic apart is our powerful hybrid search capabilities, which our customers can run at vast scale,” said Ken Exner, chief product officer at Elastic. “As the first vector database to bring hybrid search capability to Microsoft Semantic Kernel, our .NET users benefit from significantly improved retrieval quality, making it easier for them to build enterprise-grade AI applications."

Availability

Elasticsearch support for hybrid search for Microsoft Semantic Kernel is available now.

Additional Resources

For more information on the Elasticsearch integration with Semantic Kernel for .NET, read the Elastic blog.

About Elastic:

Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

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