This blog post details the development of a provider-agnostic RAG (Retrieval-Augmented Generation) document intelligence assistant using .NET's AI building blocks. It walks through the integration of various components such as IChatClient, IEmbeddingGenerator, and Qdrant for vector search to create a flexible RAG application that simplifies provider switching. The post emphasizes the practical advantages of using abstractions and auto-embedding in enhancing the development and testing of AI-integrated applications.