LlamaIndex

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import os
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os.environ["YDC_API_KEY"] = "your_api_key"

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from llama_index.retrievers.you import YouRetriever
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retriever = YouRetriever(api_key="your_api_key")
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retrieved_results = retriever.retrieve("national parks in the US")
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print(f"Retrieved {len(retrieved_results)} results")
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for i, result in enumerate(retrieved_results):
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    print(f"\nResult {i+1}:")
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    print(f"  Text: {result.node.text}...")
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    print("Metadata:")
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    for key, value in result.node.metadata.items():
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        print(f"  {key}: {value}")

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retrieved_results = await retriever.aretrieve("national parks in the US")

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retriever = YouRetriever(api_key="your_api_key", count=5, country="US")
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retrieved_results = retriever.retrieve("latest geopolitical updates")
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for result in retrieved_results:
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    print(result.node.metadata.get("source_type"))  # "web" or "news"

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retriever = YouRetriever(
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    api_key="your_api_key",
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    count=20,         # Up to 20 results per section (web/news)
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    country="US",     # Focus on US results
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    language="en",    # English results
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    freshness="week", # Results from the past week
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    safesearch="moderate",
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)
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retrieved_results = retriever.retrieve("renewable energy breakthroughs")

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from llama_index.core.query_engine import RetrieverQueryEngine
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from llama_index.llms.anthropic import Anthropic
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from llama_index.retrievers.you import YouRetriever
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llm = Anthropic(model="claude-haiku-4-5-20251001", api_key="your_anthropic_key")
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retriever = YouRetriever(api_key="your_api_key")
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query_engine = RetrieverQueryEngine.from_args(retriever, llm)
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response = query_engine.query(
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    "What are the most visited national parks in the US and why?"
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)
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print(str(response))