Reranking

Quivr uses its own reranking service to improve the quality of search results. This guide will show you how to configure the reranking service in Quivr.

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Reranking Configuration

We are using FlashrankRerank from Flashrank to improve the quality of search results. It is a reranking open-source library that uses deep learning models to rerank search results.

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Use Cohere ReRanker

To use the Cohere ReRanker, you need to configure the following environment variables in your .env file:

COHERE_API_KEY=your-cohere-api-key

By default, the COHERE_API_KEY variable is not set. If you want to use the Cohere ReRanker, you need to set it to your Cohere API key.

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Configuration

By default the Ranker outputs the best 5 results.

We only use the Cohere ReRanker to improve the quality of search results. We do not collect any personal data or sensitive information.