Implement a reranking stage for RAG retrieval results. Retrieval Context: {{retrieval_setup}} Reranking Requirements: {{reranking_specs}} Latency Budget: {{latency_constraints}} Design and implement: 1. Reranker model selection and integration 2. Score normalization across sources 3. Batch processing for efficiency 4. Fallback when reranker unavailable 5. A/B testing framework for reranker comparison 6. Metrics collection for reranker performance
Zero-Shot Reranker Implementation
Implement reranking layer for improved RAG retrieval quality
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Reranking implementationRetrieval enhancementQuality improvement
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claude-sonnet-4-20250514gpt-4o
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