Announcing Rerank-v3.5
We’re pleased to announce the release of Rerank 3.5 our newest and most performant foundational model for ranking. Rerank 3.5 has a context length of 4096, SOTA performance on Multilingual Retrieval tasks and Reasoning Capabilities. In addition, Rerank 3.5 has SOTA performance on BEIR and domains such as Finance, E-commerce, Hospitality, Project Management, and Email/Messaging Retrieval tasks.
In the rest of these release notes, we’ll provide more details about changes to the api.
Along with the model, we are releasing V2 of the Rerank API. It includes the following major changes:
model is now a required parametermax_chunks_per_doc has been replaced by max_tokens_per_doc; max_tokens_per_doc will determine the maximum amount of tokens a document can have before truncation. The default value for max_tokens_per_doc is 4096.documents parameter has been removed - if your documents contain structured data, for best performance we recommend formatting them as YAML strings.Example request