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8 lines
422 B
8 lines
422 B
# Search backends
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- Purpose: adding more noise to the training process. (already did this in the initial dataset)
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- Different search strategy? - Semantic search, keyword search, BM25, actually api call
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- Embedding models, Retrieval mechanisms (BM25, dense, hybrid), Query expansion methods, Reranking strategies
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- Random search engine assignment per query
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- Noise and inconsistency injection to prevent shortcut learning
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