cherche

We have hosted the application cherche in order to run this application in our online workstations with Wine or directly.

Quick description about cherche:

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

Programming Language: Python.
Categories: