Enum QdrantDistanceStrategy

Namespace

Mythosia.VectorDb.Qdrant

Assembly

Mythosia.VectorDb.Qdrant.dll

Distance function used for similarity search in Qdrant.

public enum QdrantDistanceStrategy

Fields

Cosine = 0

Cosine similarity. Score range: [-1, 1]. Higher = more similar.

DotProduct = 2

Dot product. Higher = more similar. Vectors should be normalized for meaningful results.

Euclidean = 1

Euclidean (L2) distance. Lower distance = more similar. Qdrant returns negative distance so higher score = more similar.