rachel-pai/T5Elasticsearch
Elasticsearch with T5/Bert/Other models provided by huggingface Transfomers.
This project helps recruiters and job seekers improve their job search by making it easier to find relevant job postings. It takes job descriptions and resumes as input, processes them using advanced language models, and then provides a more accurate and nuanced search experience than traditional keyword matching. Recruiters can quickly find candidates, and job seekers can pinpoint suitable roles.
No commits in the last 6 months.
Use this if you need to perform highly relevant and semantic searches on text documents, like job descriptions, resumes, or product catalogs, where keyword matching isn't sufficient.
Not ideal if your search needs are simple keyword lookups or if you lack the technical expertise to set up and manage Docker containers and machine learning models.
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Python
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Last pushed
Jun 12, 2023
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