hoops_ai.ml.embeddings.VectorHit

class hoops_ai.ml.embeddings.VectorHit(id, score, metadata=None, match_count=1)

Bases: object

Search result containing a matched vector from similarity search.

Parameters:

• id (str) – Unique identifier of the matched vector

• score (float) – Similarity score (higher is better, typically cosine similarity or L2 distance)

• metadata (Dict[str, Any]) – Optional metadata dictionary from the stored record

• match_count (int)

id: str

match_count: int = 1

metadata: Dict[str, Any] = None

score: float