in skills/retrieval_augmented_generation/evaluation/prompts.py [0:0]
def _retrieve_advanced(query: str, k: int = 3, initial_k: int = 20) -> Tuple[List[Dict], str]:
# Step 1: Get initial results
initial_results = db_rerank.search(query, k=initial_k)
# Step 2: Re-rank results
reranked_results = _rerank_results(query, initial_results, k=k)
# Step 3: Generate new context string from re-ranked results
new_context = ""
for result in reranked_results:
chunk = result['metadata']
new_context += f"\n <document> \n {chunk['chunk_heading']}\n\n{chunk['text']} \n </document> \n"
return reranked_results, new_context