RerankConfig

class langchain_community.vectorstores.vectara.RerankConfig(reranker: str = 'none', rerank_k: int = 50, mmr_diversity_bias: float = 0.3)

Configuration for Reranker.

reranker: “mmr”, “rerank_multilingual_v1” or “none” rerank_k: number of results to fetch before reranking, defaults to 50 mmr_diversity_bias: for MMR only - a number between 0 and 1 that determines

the degree of diversity among the results with 0 corresponding to minimum diversity and 1 to maximum diversity. Defaults to 0.3. Note: mmr_diversity_bias is equivalent 1-lambda_mult where lambda_mult is the value often used in max_marginal_relevance_search() We chose to use that since we believe it’s more intuitive to the user.

Attributes

mmr_diversity_bias
rerank_k
reranker

Methods

__init__([reranker, rerank_k, ...])

Parameters:

• reranker (str) –

• rerank_k (int) –

• mmr_diversity_bias (float) –

__init__(reranker: str = 'none', rerank_k: int = 50, mmr_diversity_bias: float = 0.3) → None

Parameters:

• reranker (str) –

• rerank_k (int) –

• mmr_diversity_bias (float) –

Return type:

None