Contextual AI Reranker v2 1B Highlights Contextual AI's reranker is the first instruction following reranker capable of handling retrieval conflicts and ranking with custom instructions (e.g., prioritizing recent information). It achieves state of the art performance on BEIR and sits on the cost/performance Pareto frontier across: Instruction following Question answering Multilinguality (100+ languages) Product search & recommendation Real world use cases For detailed benchmarks, see our blog post. Overview Model Type : Text Reranking Supported Languages : 100+ Parameters : 1B Context Length : up to 32K When to Use This Model Use this reranker when you need to: Re rank retrieved documents with custom instructions Handle conflicting information in retrieval results Prioritize documents by recency or other criteria Support multilingual search (100+ languages) Process long contexts (up to 32K tokens) Quickstart Each path below uses the same example inputs: Expected Output: Using Sentence Transformers Install Sentence Transformers: The prompt argument is optional, you can omit it to score pairs without any custom instruction. Scores are the raw bfloat16 logits at token id 0 at the fina…
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