Stop guessing how AI works in .NET.
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Three complete, working projects - Semantic Search, RAG System, and MCP Server - built with .NET 10 and running entirely on your machine.
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What's Inside
Three self-contained modules. Each one is a real, runnable project with a companion article.
Semantic Search in .NET
Build a search that understands meaning, not just keywords. Uses Microsoft.Extensions.AI, Ollama for local embeddings, and pgvector on Neon Serverless Postgres to store and query vectors.
RAG System in .NET
Ground your AI responses in real data. Ingest documents, embed them, retrieve the relevant chunks at query time, and feed them to an LLM - so the AI answers from your data, not from guesswork.
MCP Server in .NET
Expose your .NET services as tools that any AI client can call. GitHub Copilot, Claude, and Cursor connect to your server and use your data - without you rewriting anything per client.
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