# retrieval.py
def retrieve_context(query: str) -> str:
    # Simulate retrieval until you hook in embeddings
    mock_knowledge = {
        "agentic": "Agentic AI enables systems to autonomously plan and execute tasks.",
        "llama": "Llama models are advanced open-weight LLMs optimized for reasoning."
    }
    for key, val in mock_knowledge.items():
        if key.lower() in query.lower():
            return val
    return "No relevant context found yet — retrieval DB not connected."