AI 原生开放教材

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Context Engineering（Bonigarcia 教程）工程手册·英文原文 ↗原件 ↓仓库 ↗

Agent with RAG using Microsoft Agent Framework ​

This example demonstrates how to augment an AI agent with Retrieval Augmented Generation (RAG) capabilities using Microsoft Agent Framework . The agent will use provided external context to answer questions, ensuring responses are grounded in the given information.

Requirements ​

Steps for running this example in the shell ​

  1. Install dependencies:
bash
python -m venv .venv

# macOS/Linux:
source .venv/bin/activate

# Windows Command Prompt:
.venv\Scripts\activate.bat

# Windows PowerShell:
.venv\Scripts\Activate.ps1

pip install -r requirements.txt
  1. Export your API key as an environment variable:
bash
export OPENAI_API_KEY="sk-..." # Windows cmd: set OPENAI_API_KEY="sk-..." # Windows PowerShell: $env:OPENAI_API_KEY="sk-..."
  1. Run the script:
bash
python agent_with_rag.py

Output ​

The script will demonstrate the agent's ability to answer questions based on the content of some external knowledge. You should observe responses that are specifically grounded in the provided context.

Agent ready. Ask a question (type 'exit' to quit).

You: What is the return policy?

Agent: The return policy allows customers to return items within 30 days of delivery. Items must be unused and in their original packaging. Refunds are issued within 5 business days after the inspection of the returned item (SourceId: policy-returns).

You: How quickly do I get my money back?

Agent: You can expect to receive your money back within **5 business days** after your returned item is inspected. To qualify for a refund, items must be returned within **30 days of delivery** and should be unused and in their original packaging.

For more specifics, you can refer to the Return Policy ([SourceId: policy-returns]).

You: Is shipping free for large purchases?

Agent: Yes, standard shipping is free for orders over $50. If your large purchase meets this threshold, you will qualify for free standard shipping. For more details, you can refer to the shipping policy [here](https://example.com/policy-shipping) (SourceId: policy-shipping).