The Progress Agentic RAG no-code, software-as-a-service solution lets you create an AI agent in minutes. But, after that, you need to validate whether your agent is providing relevant, accurate and complete responses.
If you (like many) feel that you might have “missed the on-ramp” or if you’ve been tentatively working with AI in your applications without truly understanding what’s happening behind the scenes: you’re in the right place! To start off, we’re going to make sure we’re all on the same page in terms of terminology.
RAG is a technique that enhances language models by integrating them with internal knowledge sources. In this post, you’ll understand the concept of RAG and learn how to implement it in an ASP.NET Core application, exploring a practical, real-world scenario.