- Elastic (ESTC, Financial) introduces hybrid search capabilities for Microsoft's Semantic Kernel.
- This marks Elastic as the first vector database with blended text and semantic retrieval for .NET developers.
- The development aims to enhance search accuracy and relevance in enterprise-level AI applications.
Elastic (ESTC), a leader in Search AI technology, has announced the launch of hybrid search capacities for Microsoft's Semantic Kernel project. This groundbreaking development makes Elastic's vector database the first to combine text and semantic retrieval techniques for .NET developers, aiming to deliver more relevant and accurate search results.
According to Ken Exner, chief product officer at Elastic, this new capability will allow users to integrate multiple search techniques, thereby improving the retrieval quality of their queries. This innovation is expected to facilitate the building of enterprise-grade AI applications, running effectively at large scales.
Elasticsearch's support for this hybrid search functionality is currently available, providing .NET developers with advanced tools to enhance their information retrieval processes. Elastic continues to expand its platform's capabilities, already utilized by more than 50% of the Fortune 500 companies.
For more details on Elasticsearch's integration with Semantic Kernel, interested developers and organizations can visit Elastic's official website or read their blog for additional resources.
