Category: .NET

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Build a RAG agent with Elasticsearch and GitHub Copilot SDK

Wire Elasticsearch into the GitHub Copilot SDK as a RAG tool in five lines of C#, grounding your agent in your own logs, docs and data instead of model training data.

Greg Crist
AI.NETVector Database

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.

Florian Bernd
.NET

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.

Florian Bernd
Vector Database.NET

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.

Gustavo Llermaly
.NET

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.

Florian Bernd

Ready to build state of the art search experiences?

Sufficiently advanced search isn’t achieved with the efforts of one. Elasticsearch is powered by data scientists, ML ops, engineers, and many more who are just as passionate about search as you are. Let’s connect and work together to build the magical search experience that will get you the results you want.

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