Implement Microsoft.Extensions.AI IEmbeddingGenerator#2
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Expose Model2VecModel as IEmbeddingGenerator<string, Embedding<float>> so it plugs into the .NET AI ecosystem (RAG, vector stores, semantic search) and composes with Microsoft.Extensions.VectorData stores. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Exposes
Model2VecModelas Microsoft.Extensions.AIIEmbeddingGenerator<string, Embedding<float>>so it plugs directly into the .NET AI ecosystem (RAG pipelines, vector stores, semantic search).What's new
Model2VecModelimplementsIEmbeddingGenerator<string, Embedding<float>>via a partial class;GenerateAsyncreuses the existingEncodeinference path.Microsoft.Extensions.VectorDatastore (e.g. Hnsw.Net) to embed and index text with no external service.Notes
dotnet packpasses package validation against the 0.1.0 baseline.EmbeddingGeneratorTests(single/batch parity withEncodeand metadata).