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[P] NBoost: Boost Elasticsearch Search Relevance by 80% with BERT

Hi Everyone!

New to reddit, but I’d like to share a project I’ve been working on called NBoost. It’s essentially a proxy for search APIs (e.g. Elasticsearch) that reranks search results using finetuned models (e.g. BERT).

Check out our medium article or github to learn more!

It’s main features include: – Super easy to set up (you can just pip install nboost) – Easy, non-invasive integration with Elasticsearch and potentially other search APIs. – Finetuned models are plugins (you can swap them in and out). – Fast and scaleable (written at the lowest level possible)

submitted by /u/colethienes
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.