Rankers

Available rankers:

• CohereRanker: Ranks documents based on their similarity to the query using Cohere models.
• LostInTheMiddleRanker: Puts the most relevant documents and the beginning and at the end of input for an LLM.
• MetaFieldRanker: Ranks documents based on a value of their metadata field.
• SentenceTransformersDiversityRanker: Ranks documents to maximize their diversity.
• TopPSampler: Uses nucleus sampling to select the most relevant documents based on their similarity to a query.
• TransformersSimilarityRanker: Uses a cross-encoder model to embed both the query and the documents and then rank documents by their similarity to the query.