Maximal Marginal Relevance (MMR) reranker
The Maximal Marginal Relevance (MMR) reranker enables you to diversify search results to reduce redundancy while maintaining relevance to the query. MMR reranks the results to include documents that are both relevant to your query but also different from the documents already listed in the search results.
This approach provides users with a more balanced set of results as they may show different perspectives related to your query.
Enable the MMR reranker
You enable the MMR reranker by specifying the type as mmr. Having a
diverse set of relevant results has different benefits depending on
the use case:
- In a pure search scenario, it improves user engagement with results by avoiding repetition.
- In a generative AI scenario, it produces more comprehensive summaries.
- Diversifying results can potentially represent all points of view in the data or reduce bias.
In addition to specifying the type as mmr at query time, you also
specify a diversity bias range between 0.0 and 1.0. Values closer to 1.0
optimize for the most diverse results. This setting is only available with the
MMR Reranker.
CODE EXAMPLE
Code example with json syntax.1