--- title: Building a RAG in ASP.NET Core | daily.dev description: RAG (Retrieval-Augmented Generation) enhances language models by connecting them to internal knowledge sources for more accurate, context-aware responses... canonical: https://daily.dev/posts/building-a-rag-in-asp-net-core-mokd7eosh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Building a RAG in ASP.NET Core | daily.dev og:description: RAG (Retrieval-Augmented Generation) enhances language models by connecting them to internal knowledge sources for more accurate, context-aware responses... og:url: https://daily.dev/posts/building-a-rag-in-asp-net-core-mokd7eosh og:image: https://api.daily.dev/og/posts/MOKD7EoSH.png og:image:alt: Building a RAG in ASP.NET Core og:image:width: 1200 og:image:height: 630 og:locale: 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. # Building a RAG in ASP.NET Core **[Telerik](https://daily.dev/sources/telerik)** · 12 min read · 1 upvotes · 0 comments ## Summary RAG (Retrieval-Augmented Generation) enhances language models by connecting them to internal knowledge sources for more accurate, context-aware responses without retraining. This tutorial demonstrates building a RAG system in ASP.NET Core that answers product return policy questions by converting policy text into embeddings stored in SQLite, retrieving relevant chunks via semantic search, and generating responses through OpenAI's API. The implementation covers the complete RAG workflow: user input, information retrieval using vector embeddings, context assembly, augmented generation, and response delivery. The article includes code for embedding generation, cosine similarity calculations, database operations, and integration with OpenAI's chat and embedding models. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#openai](https://daily.dev/tags/openai), [#rag](https://daily.dev/tags/rag), [#sqlite](https://daily.dev/tags/sqlite), [#aspnetcore](https://daily.dev/tags/aspnetcore), [#embeddings](https://daily.dev/tags/embeddings) [View this post on daily.dev](https://daily.dev/posts/building-a-rag-in-asp-net-core-mokd7eosh) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Building a RAG in ASP.NET Core","url":"https://daily.dev/posts/building-a-rag-in-asp-net-core-mokd7eosh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/building-a-rag-in-asp-net-core-mokd7eosh"},"datePublished":"2026-02-02T17:30:12.274Z","dateModified":"2026-02-02T17:33:04.335Z","description":"RAG (Retrieval-Augmented Generation) enhances language models by connecting them to internal knowledge sources for more accurate, context-aware responses...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/1e007f4ec49e60933d9ad166ce5a1250?_a=AQAEulh","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/1e007f4ec49e60933d9ad166ce5a1250?_a=AQAEulh","isAccessibleForFree":true,"articleSection":"Telerik","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Telerik","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/5ee6d4bef8ac4f84886d06f5881963e7","url":"https://daily.dev/sources/telerik"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/building-a-rag-in-asp-net-core-mokd7eosh","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"openai,rag,sqlite,aspnetcore,embeddings","timeRequired":"PT12M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Telerik","item":"https://daily.dev/sources/telerik"},{"@type":"ListItem","position":3,"name":"Building a RAG in ASP.NET Core"}]} ```