---
title: "Understanding RAG and LLM Workflow in AI with .NET 8"
url: https://daily.dev/posts/understanding-rag-and-llm-workflow-in-ai-with-net-8-iqxwbq3c1
source_url: https://www.csharp.com/article/understanding-rag-and-llm-workflow-in-ai-with-net-8
type: article
source: "C# Corner"
published: 2026-05-25T05:46:46.998Z
updated: 2026-05-25T05:47:10.355Z
tags: ["llm", "genai", ".net", "rag", "vector-search"]
reading_time: 6
upvotes: 1
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.

# Understanding RAG and LLM Workflow in AI with .NET 8

**[C\# Corner](https://daily.dev/sources/csharpcorner)** · 6 min read · 1 upvotes · 0 comments

## Summary

An introductory guide to RAG (Retrieval-Augmented Generation) and LLM workflows aimed at .NET developers. Explains why LLMs have knowledge limitations, how RAG addresses them by retrieving relevant context before generating responses, and why retrieval quality directly impacts answer accuracy. Includes a simple .NET 8 in-memory retrieval example to simulate the search step of a RAG pipeline, with a workflow summary table and a preview of upcoming topics like Azure AI Search and vector embeddings.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.csharp.com/article/understanding-rag-and-llm-workflow-in-ai-with-net-8>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#genai](https://daily.dev/tags/genai), [#.net](https://daily.dev/tags/.net), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search)

[View this post on daily.dev](https://daily.dev/posts/understanding-rag-and-llm-workflow-in-ai-with-net-8-iqxwbq3c1)