wehub-resource-sync
32 lines
1.1 KiB
JSON
32 lines
1.1 KiB
JSON
{
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"oracle": [
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{
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"question": "How does LightRAG solve the hallucination problem in large language models?",
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"expected_documents": ["01_lightrag_overview.md"]
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},
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{
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"question": "What are the three main components required in a RAG system?",
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"expected_documents": ["02_rag_architecture.md"]
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},
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{
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"question": "How does LightRAG's retrieval performance compare to traditional RAG approaches?",
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"expected_documents": ["03_lightrag_improvements.md"]
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},
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{
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"question": "What vector databases does LightRAG support and what are their key characteristics?",
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"expected_documents": ["04_supported_databases.md"]
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},
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{
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"question": "What are the four key metrics for evaluating RAG system quality and what does each metric measure?",
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"expected_documents": ["05_evaluation_and_deployment.md"]
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},
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{
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"question": "What are the core benefits of LightRAG and how does it improve upon traditional RAG systems?",
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"expected_documents": [
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"01_lightrag_overview.md",
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"03_lightrag_improvements.md"
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]
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}
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]
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}
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