Compute cosine similarity scores between base and target embeddings.
This is a pure scoring function that operates on pre-computed embeddings.
Usage
score_embeddings(base_embeddings, target_embeddings, strategy, ...)
Arguments
- base_embeddings
A table with columns: id and embedding.
- target_embeddings
A table with columns: id and embedding.
- strategy
An Embedding_Strategy object (used for normalization settings).
- ...
Additional arguments passed to backend-specific methods.
Value
A backend-specific table with columns: base_id, target_id, score.