Archive: our articles

Category: AI

A cute, confused robot sitting in a pile of documents, seareching for the right one

Improved RAG: More effective Semantic Search with content transformations

One of the more pragmatic ways to get going on the current AI hype, and to get some value out of it, is by leveraging semantic search. This is, in itself, a relatively simple concept: You have a bunch of documents and want to find the correct one based on a given query. The semantic part now allows you to find the correct document based on the meaning of its contents, in contrast to simply finding words or parts of words in it like we usually do with lexical search.

In our last projects, we gathered some experience with search bots, and with this article, I’d love to share our insights with you.

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Integrating AI Power into Your .NET Applications with the Semantic Kernel Toolkit – an Early View

With the rise of powerful AI models and services, questions come up on how to integrate those into our applications and make reasonable use of them. While other languages like Python already have popular and feature-rich libraries like LangChain, we are missing these in .NET and C#. But there is a new kid on the block that might change this situation. Welcome Semantic Kernel by Microsoft!

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