Large Language Models (LLMs) have opened up new possibilities for building intelligent applications. For .NET developers, integrating LLMs into ASP.NET Core applications has become incredibly seamless with tools like Semantic Kernel and direct API wrappers.
Building Retrieval-Augmented Generation (RAG) Systems
By connecting ASP.NET Core to vector databases and LLM APIs, developers can build RAG systems that query local databases, convert search queries into vector embeddings, and feed context into the LLM to get highly accurate, private domain answers.
Best Practices for Production APIs
When integrating AI APIs, always implement response streaming (using IAsyncEnumerable), rate limiting, and request timeouts to ensure your endpoints remain fast and responsive.