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.
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Agentic AI with .NET Tutorial · Lesson 48 of 120
Document Search Agent Skill
Foundations & SK ✓ → Tools & RAG → Product & Ops → Projects
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
- Recreate the sketch in a .NET 8 console or Web API.
- Connect a real or mock chat client.
- Add one validation or auth check.
- Tighten the prompt/tool description.
- 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.
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