# cross-encoder

> Browse 3 items tagged with cross-encoder.

## Items

- [Jina Reranker v2](https://vectordb.ever.works/items/jina-reranker-v2) — Transformer-based cross-encoder model fine-tuned for text reranking with Flash Attention 2 architecture. Features multilingual support for 100+ languages, function-calling capabilities, code search, and 6x speedup over v1 with only 278M parameters.
- [MS MARCO Cross-Encoder](https://vectordb.ever.works/items/ms-marco-cross-encoder) — Popular cross-encoder reranker models trained on MS MARCO dataset for semantic search, providing superior accuracy in re-ranking the top results from bi-encoder retrieval systems.
- [Reranking Models](https://vectordb.ever.works/items/reranking-models) — Cross-encoder models that rerank initial retrieval results for improved relevance. More accurate than bi-encoders but slower, typically applied to top-k candidates.

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