.NET

How to use Elasticsearch Vector Store Connector for Microsoft Semantic Kernel for AI Agent development

Microsoft Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. With the release of Semantic Kernel Elasticsearch Vector Store Connector, developers using Semantic Kernel for building AI agents can now plugin Elasticsearch as a scalable enterprise-grade vector store while continuing to use Semantic Kernel abstractions.

FB SM

By: Florian Bernd and Srikanth Manvi

.NET

October 15, 2024

NEST lifetime extended & Elastic.Clients.Elasticsearch (v8) Roadmap

Announcing the extension of the NEST (v7) lifetime and providing a high level overview of the Elastic.Clients.Elasticsearch (v8) roadmap.

By: Florian Bernd

Vector Database .NET

October 9, 2024

Building a search app with Blazor and Elasticsearch

Learn how to build a search application using Blazor and Elasticsearch, and how to use the Elasticsearch .NET client for hybrid search.

By: Gustavo Llermaly

.NET

April 16, 2024

Elasticsearch .NET client evolution: From NEST to Elastic.Clients.Elasticsearch

Learn about the evolution of the Elasticsearch .NET client and the transition from NEST to Elastic.Clients.Elasticsearch.

By: Florian Bernd

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