Announcing Rerank-v3.5
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:
modelis now a required parametermax_chunks_per_dochas been replaced bymax_tokens_per_doc;max_tokens_per_docwill determine the maximum amount of tokens a document can have before truncation. The default value formax_tokens_per_docis 4096.- support for passing a list of objects for the
documentsparameter has been removed - if your documents contain structured data, for best performance we recommend formatting them as YAML strings.
Example request
cURL