_similarity_search_with_relevance_scores

_similarity_search_with_relevance_scores(
    query: str,
    k: int,
    **kwargs
) -> List[Tuple[Document, float]]

# Search with relevance scores and threshold
results = store._similarity_search_with_relevance_scores(
    "machine learning",
    k=10,
    score_threshold=0.5
)

print(f"Found {len(results)} documents above threshold")
for doc, score in results:
    print(f"Relevance: {score:.2%} - {doc.page_content[:50]}...")