--- title: "Build AI Search in .NET using Postgres and pgvector" url: https://daily.dev/posts/build-ai-search-in-net-using-postgres-and-pgvector-bcwbj2v0i source_url: https://mwaseemzakir.substack.com/p/build-ai-search-in-net-using-postgres type: article source: "Waseem .NET Newsletter" published: 2026-07-04T04:11:39.916Z updated: 2026-07-04T04:12:01.160Z tags: [".net", "postgresql", "vector-search", "embeddings", "pgvector"] reading_time: 4 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Build AI Search in .NET using Postgres and pgvector **[Waseem .NET Newsletter](https://daily.dev/sources/mwaseemzakir)** · 4 min read · 0 upvotes · 0 comments ## Summary A step-by-step guide to building semantic/AI-powered search in ASP.NET Core using PostgreSQL, pgvector, and the Gemini Embeddings API. Covers the limitations of keyword search, explains vector embeddings, and walks through adding an Embedding column to a Blog entity, configuring pgvector with EF Core, generating embeddings on record creation, and querying by cosine distance to return semantically relevant results. A complete demo repo with 100 seeded articles is provided. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Getting Started With PgVector in .NET for Simple Vector Search](https://daily.dev/posts/getting-started-with-pgvector-in-net-for-simple-vector-search-wqsbcjmkr) · Milan Jovanović · 5 upvotes · 0 comments --- Tags: [#.net](https://daily.dev/tags/.net), [#postgresql](https://daily.dev/tags/postgresql), [#vector-search](https://daily.dev/tags/vector-search), [#embeddings](https://daily.dev/tags/embeddings), [#pgvector](https://daily.dev/tags/pgvector) [View this post on daily.dev](https://daily.dev/posts/build-ai-search-in-net-using-postgres-and-pgvector-bcwbj2v0i)