
Developing a Modern Search Stack: NER & More Precise Search Results
How we developed an NER service to label user queries, dynamically generate our Elasticsearch query, and return more precise search results.
Deep dives into our technical challenges, culture, and innovations that help 100,000+ healthcare practitioners deliver better patient outcomes.

How we used Metarank to quickly build a learning to rank service to improve the NDCG of our search engine.
.png?2025-11-08T01:52:03.285Z)
Using Quepid and Optuna to optimize the boost values for your Elasticsearch query and improve your NDCG
Explore our technical content across different areas of engineering and development.
Engineering culture, practices, and collaboration
Ruby on Rails, APIs, and server architecture
Technical content and insights about general software engineering
Technical content and insights about general software engineering
React, TypeScript, and modern web development
Analytics, ML pipelines, and data insights
Learn more about our team, culture, and how we're building technology that transforms healthcare.
Get the latest engineering insights, technical deep dives, and team updates delivered to your inbox.