Rankers

Rankers are a group of components that order documents by given criteria. Their goal is to improve your document retrieval results.

AmazonBedrockRanker	Ranks documents based on their similarity to the query using Amazon Bedrock models.
CohereRanker	Ranks documents based on their similarity to the query using Cohere rerank models.
FastembedRanker	Ranks documents based on their similarity to the query using cross-encoder models supported by FastEmbed.
HuggingFaceTEIRanker	Ranks documents based on their similarity to the query using a Text Embeddings Inference (TEI) API endpoint.
JinaRanker	Ranks documents based on their similarity to the query using Jina AI models.
LostInTheMiddleRanker	Positions the most relevant documents at the beginning and at the end of the resulting list while placing the least relevant documents in the middle, based on a research paper.
MetaFieldRanker	A lightweight Ranker that orders documents based on a specific metadata field value.
MetaFieldGroupingRanker	Reorders the documents by grouping them based on metadata keys.
NvidiaRanker	Ranks documents using large-language models from NVIDIA NIMs .
TransformersSimilarityRanker	A legacy version of SentenceTransformersSimilarityRanker.