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