Milan Jovanović 3/28/2026

Getting Started With PgVector in .NET for Simple Vector Search

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This article provides a comprehensive guide on implementing vector search in .NET using the pgvector PostgreSQL extension. It covers the basics of vector search and semantic similarity, when to use it (semantic search, RAG, recommendations, deduplication), and how to provision infrastructure with .NET Aspire and Ollama. The tutorial includes generating embeddings with MEAI, storing them with Dapper, and querying by cosine distance. It emphasizes using PostgreSQL instead of dedicated vector databases for simplicity.

Getting Started With PgVector in .NET for Simple Vector Search

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