raphaelsty/neural-cherche
Neural Search
This tool helps improve how well search systems understand and respond to queries by letting you customize powerful neural search models. You provide example search queries along with relevant and irrelevant documents, and it fine-tunes the model to better identify what users are looking for. Anyone who manages or develops search features for their applications, such as internal knowledge bases, e-commerce product search, or customer support portals, would find this useful.
367 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to build or enhance a search engine where standard keyword matching isn't delivering precise enough results for your specific data and user queries.
Not ideal if you just need a basic search function without fine-tuning, or if you don't have a dataset of query-document pairs to train a model.
Stars
367
Forks
18
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2025
Commits (30d)
0
Dependencies
5
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