Reranking is the process of scoring and sorting documents based on their relevance to a query. Reranking is often used in conjunction with a search engine, where the search engine retrieves documents that might be relevant to a user’s query using relatively computationally inexpensive information retrieval techniques like BM25 and dense embeddings, and the more computationally expensive but also more accurate reranker then resorts those documents based on their relevance to the query, before the top dozen results are presented to the user (or, when used as part of a retrieval-augmented generation (RAG) pipeline, to a generative model). Isaacus offers the world’s most accurate legal reranker, Kanon 2 Reranker, ranked first on Legal RAG Bench, available through our reranking endpoint. For a complete specification of the parameters and response format of our reranking endpoint, please refer to the API reference documentation.Documentation Index
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