Options for configuring a maximal marginal relevance (MMR) search
when using the VectorStoreRetriever.
These parameters control how the MMR algorithm balances relevance to the
query and diversity among the retrieved documents.
Fields:
fetchK (optional): Specifies the initial number of documents to fetch
before applying the MMR algorithm. This larger set provides a pool of
documents from which the algorithm can select the most diverse results
based on relevance to the query.
lambda (optional): A value between 0 and 1 that determines the balance
between relevance and diversity:
A lambda of 0 maximizes diversity among the results, prioritizing varied content.
A lambda of 1 maximizes similarity to the query, prioritizing relevance.
Values between 0 and 1 provide a mix of relevance and diversity.
Options for configuring a maximal marginal relevance (MMR) search when using the
VectorStoreRetriever.These parameters control how the MMR algorithm balances relevance to the query and diversity among the retrieved documents.
Fields:
fetchK(optional): Specifies the initial number of documents to fetch before applying the MMR algorithm. This larger set provides a pool of documents from which the algorithm can select the most diverse results based on relevance to the query.lambda(optional): A value between 0 and 1 that determines the balance between relevance and diversity:lambdaof 0 maximizes diversity among the results, prioritizing varied content.lambdaof 1 maximizes similarity to the query, prioritizing relevance. Values between 0 and 1 provide a mix of relevance and diversity.