"""
Enterprise Knowledge Assistant - Cross-Encoder Reranking
"""

def retrieve_with_reranking(query, domain, embedding_model, domain_indices, domain_chunks_map,
                              index, all_chunks, reranker, retrieve_hybrid_fn,
                              initial_k=15, final_k=5, domain_fallback_threshold=0.95):
    
    initial_results = retrieve_hybrid_fn(query, domain, embedding_model, domain_indices, domain_chunks_map,
                                           index, all_chunks, top_k=initial_k, domain_fallback_threshold=domain_fallback_threshold)
    
    pairs = [[query, chunk['text']] for dist, chunk in initial_results]
    rerank_scores = reranker.predict(pairs)
    
    scored_results = list(zip(rerank_scores, [chunk for dist, chunk in initial_results]))
    scored_results.sort(key=lambda x: x[0], reverse=True)
    
    return scored_results[:final_k]