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Expand Up @@ -211,10 +211,10 @@ async with Agent(
4. **Run the examples**:
```bash
# Semantic mode (fast, simple)
python azure_ai_with_search_context_semantic.py
python search_context_semantic.py

# Agentic mode (intelligent, complex)
python azure_ai_with_search_context_agentic.py
python search_context_agentic.py
```

## Key Parameters
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Expand Up @@ -23,7 +23,7 @@
- Slightly slower with more token consumption for query planning
- See: https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/foundry-iq-boost-response-relevance-by-36-with-agentic-retrieval/4470720

For simple queries where speed is critical, use semantic mode instead (see azure_ai_with_search_context_semantic.py).
For simple queries where speed is critical, use semantic mode instead (see search_context_semantic.py).

Prerequisites:
1. An Azure AI Search service
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2 changes: 1 addition & 1 deletion python/samples/02-agents/declarative/README.md
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Expand Up @@ -257,7 +257,7 @@ python get_weather_agent.py
python microsoft_learn_agent.py
python inline_yaml.py
python azure_openai_responses_agent.py
python openai_responses_agent.py
python openai_agent.py
```

## Learn More
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