Compute Maximal Marginal Relevance (MMR).
MMR is a technique used to select documents that are both relevant to the query and diverse among themselves. This function returns the indices of the top-k embeddings that maximize the marginal relevance.
Notes:
The Maximal Marginal Relevance (MMR) is computed using the following formula:
MMR = argmax_{D_i ∈ R \ S} [λ * Sim(D_i, Q) - (1 - λ) * max_{D_j ∈ S} Sim(D_i, D_j)]
where:
The number of embeddings to select. Defaults to 4.
