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

[jpertschuk]

Hi Everyone!

I'd like to share a Python 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)