thongnt99/learned-sparse-retrieval
Unified Learned Sparse Retrieval Framework
This framework helps machine learning practitioners improve how computers find relevant information from large text collections. You input your text documents and search queries, along with examples of what documents are relevant to which queries. The framework then outputs a finely tuned search model that can retrieve more accurate results. It's designed for researchers and engineers working on search engines and information retrieval systems.
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Use this if you need to train and customize learned sparse retrieval models to enhance the accuracy and efficiency of search within your specific text dataset.
Not ideal if you're looking for an out-of-the-box search solution or if you don't have the technical expertise to train and evaluate machine learning models.
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68
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7
Language
Python
License
Apache-2.0
Category
Last pushed
May 13, 2024
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