izhx/uni-rep
Code for embedding and retrieval research.
This is a collection of code for reproducing various embedding and retrieval models. It helps researchers and engineers develop and test advanced search and information retrieval systems. You input text data, like documents or queries, and it outputs numerical representations (embeddings) that can be used to find relevant information quickly. It's for machine learning researchers and NLP engineers working on information retrieval.
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Use this if you are a machine learning researcher or NLP engineer looking to reproduce, develop, or experiment with state-of-the-art embedding and retrieval models for various text types.
Not ideal if you are a non-technical end-user looking for a ready-to-use search engine or a simple tool to analyze documents without needing to build or train models.
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Last pushed
Oct 24, 2023
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