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.
Technical Details
API Changes:
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 bymax_tokens_per_doc
;max_tokens_per_doc
will determine the maximum amount of tokens a document can have before truncation. The default value formax_tokens_per_doc
is 4096.- support for passing a list of objects for the
documents
parameter has been removed - if your documents contain structured data, for best performance we recommend formatting them as YAML strings.
Example request