Tutorials Agentic AI with .NET Tutorial

Document Search Agent Skill

Document Search Agent Skill: free step-by-step lesson with examples, common mistakes, and interview tips — part of Agentic AI with .NET Tutorial on Toolliyo Academy.

On this page

Agentic AI with .NET Tutorial · Lesson 48 of 120

Document Search Agent Skill

Foundations & SK ✓Tools & RAGProduct & OpsProjects

Tools & RAG · 2 — Act safely · ~6 min · RAG & Memory

What is this?

Document Search Agent Skill improves agent answers with retrieval and memory design.

Why should you care?

Without RAG/memory, agents invent company facts.

See it live — copy this example

Use .NET 8+. Run Semantic Kernel samples in a console or Web API. Keep API keys in user secrets or environment variables — never in source.

// Document Search Agent Skill
var chunks = await retriever.SearchAsync(question, topK: 4);
var prompt = $"Context:\n{string.Join("\n", chunks)}\nQ:{question}";

What happened?

  • Search first, then generate with strict “use context only” instructions.
  • Follow the steps below — typing the code yourself is the fastest way to learn.

Practice next

  1. Recreate the sketch in a .NET 8 console or Web API.
  2. Connect a real or mock chat client.
  3. Add one validation or auth check.
  4. Tighten the prompt/tool description.
  5. Log duration of the model call.

Remember

You can explain Document Search Agent Skill simply. You have a C# sketch to extend. You know one safety or ops risk.

Document Search Agent Skill in AgentVerse

Your team applies document search agent skill while building a .NET agent platform.

Outcome: A concrete next coding step exists.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain Concepts in the context of Agentic AI with .NET.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Concepts in plain language f…
Mid Detailed
What are common mistakes teams make with LLMs when using Agentic AI with .NET?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define LLMs in plain language for A…
Senior Detailed
How would you debug a production issue related to RAG in a Agentic AI with .NET application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define RAG in plain language for Ag…
Junior Detailed
Describe a real-world scenario where Production mattered in a Agentic AI with .NET project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Production in plain language…
Mid Detailed
Compare two approaches to Ethics—when would you choose each?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Ethics in plain language for…
Questions on this lesson 0

Sign in to ask a question or upvote helpful answers.

No questions yet — be the first to ask!

Agentic AI with .NET Tutorial
Course syllabus

Agentic AI with .NET Tutorial

Agentic Foundations
Semantic Kernel
.NET AI Wiring
Framework Choices
RAG & Memory
Tools & Automation
Multi-Agent Patterns
ASP.NET Core Integration
Security & Governance
Cloud & Operations
Advanced Agent Behavior
Capstone Projects
Toolliyo Assistant
Ask about tutorials, ebooks, training, pricing, mentor services, and support. I use public site content only—not admin or internal tools.

care@toolliyo.com

Need callback? Share your details