Download 2.1.0 source code.zip (Cherche)

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Cherche Overview

Neural Search

Cherche allows the creation of efficient neural search pipelines using retrievers and pre-trained language models as rankers. Cherche's main strength is its ability to build diverse and end-to-end pipelines from lexical matching, semantic matching, and collaborative filtering-based models. Cherche provides modules dedicated to summarization and question answering. These modules are compatible with Hugging Face's pre-trained models and fully integrated into neural search pipelines. Search is fully compatible with the collaborative filtering library Implicit. It is advantageous if you have a history associated with users and you want to retrieve / re-rank documents based on user preferences.

Additional Details for Cherche

Programming Language

Python

Registered

2023-04-10

Last Updated

2024-06-01

Maintainers

sf-editor1

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Cherche