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.

Features

  • Cherche allows creating a neural search pipeline
  • Use retrievers and pre-trained language models as rankers
  • Cherche's main strength is its ability to build diverse and end-to-end pipelines
  • Cherche allows to find the right document within a list of JSON
  • Retriever ranker
  • Map the index to documents

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Vector Search Engines, Python Neural Search Software

Registered

2023-04-10