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Optimize Search Precision with Reranking on Heroku AI
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Optimize Search Precision with Reranking on Heroku AI

Heroku·Anush DSouza, Mandeep Bal·about 1 month ago
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Today, we are announcing the general availability of reranking models on Heroku Managed Inference and Agents , featuring support for Cohere Rerank 3.5 and Amazon Rerank 1.0 . Semantic reranking models score documents based on their relevance to a specific query. Unlike keyword search or vector similarity, rerank models understand nuanced semantic relationships to identify the most relevant documents for a given question. Reranking acts as your RAG pipeline’s high-fidelity filter, decreasing noise and token costs by identifying which documents best answer the specific query. Implement two-stage retrieval with the Heroku Rerank API The Heroku Managed Inference API is designed to be compatible with the Cohere format. Integrate reranking into your existing RAG (retrieval augmented generation) stack by sending a request to the /v1/rerank endpoint.…

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