dotnet-microsoft-extensions-ai

To unify AI integrations across multiple providers in .NET, use abstractions like IChatClient and IEmbeddingGenerator. This enables provider-agnostic workflows for chat, embeddings, and evaluation, allowing you to swap AI backends with minimal code changes.

The best way to swap AI providers in a .NET application is by using dependency injection pipelines and middleware composition. This approach abstracts the provider logic, ensuring consistent outputs and tooling behavior while replacing the underlying backend.

Yes, you can use IChatClient and IEmbeddingGenerator together for retrieval-augmented generation in .NET. Composing these abstractions within a single application enables portable, cross-provider AI workflows that support vector search and chat interactions.

Microsoft.Extensions.AI does support dependency injection and middleware for AI workflows. This allows developers to compose seamless DI pipelines, enabling swap-free provider changes and consistent tooling behavior across different AI application scenarios.

You need provider-agnostic AI abstractions in .NET when building portable AI chat apps, retrieval-augmented generation, or evaluation workflows. These abstractions ensure you can replace providers with minimal code changes while maintaining consistent outputs and tooling behavior.