AI is happening. The future is updating.jina-reranker-v3
> [!IMPORTANT] > **Prefer `jina-reranker-v3.5`** for new projects — it is a drop-in upgrade with stronger domain / multilingual / structured rankings and faster listwise inference. Same API; switch the model id from `jinaai/jina-reranker-v3` to `jinaai/jina-reranker-v3.5`. > [!TIP] > GGUF with quantizations and MLX versions are now available. `jina-reranker-v3` is a 0.6B parameter multilingual document reranker with a novel *last but not late interaction* architecture. Unlike ColBERT's separate encoding with multi-vector matching, this model performs causal self-attention between query and documents within the same context window, extracting contextual embeddings from the last token of each document.
> [!IMPORTANT] > **Prefer `jina-reranker-v3.5`** for new projects — it is a drop-in upgrade with stronger domain / multilingual / structured rankings and faster listwise inference. Same API; switch the model id from `jinaai/jina-reranker-v3` to `jinaai/jina-reranker-v3.5`. > [!TIP] > GGUF with quantizations and MLX versions are now available. `jina-reranker-v3` is a 0.6B parameter multilingual document reranker with a novel *last but not late interaction* architecture. Unlike ColBERT's separate encoding with multi-vector matching, this model performs causal self-attention between query and documents within the same context window, extracting contextual embeddings from the last token of each document.