Cohere's Rerank 3.5 model is a game-changer, offering complex reasoning capabilities never seen before in a reranker! With just a single line of code, you can improve search performance and get better responses. In RAG scenarios, reranking filters search results, ensuring the most relevant information is passed to the AI model, which leads to lower costs. We tested the model on a financial services dataset and found it to be a whopping +23.4% better than Hybrid Search and +30.8% better than BM25.
Introducing our latest AI search model: Rerank 3.5! Rerank 3.5 delivers state-of-the-art performance with improved reasoning and multilingual capabilities in 100+ languages to precisely search complex enterprise data like long documents, emails, tables, and code. Rerank 3.5 can be easily implemented with just a few lines of code to help businesses enhance their search and retrieval-augmented generation (RAG) systems. Customers like Notion have used our rerankers to help users quickly get relevant answers to their most important questions. It’s available today on Cohere’s platform and Amazon Web Services (AWS) Bedrock and Sagemaker, with additional cloud platforms coming soon. Learn more: https://lnkd.in/e6nVA7ws