Posts - Backend Development

Ruby on Rails, APIs, and server architecture

Showing 1 - 12 of 12 Posts

How we fine-tuned a vector model to create a hybrid search engine that understands the intent of our users' queries.

How we developed an NER service to label user queries, dynamically generate our Elasticsearch query, and return more precise search results.

How we used Metarank to quickly build a learning to rank service to improve the NDCG of our search engine.

Using Quepid and Optuna to optimize the boost values for your Elasticsearch query and improve your NDCG

Describing search metrics that are important when building and evaluating a search engine (precision, recall, & NDCG)

An overview of how Fullscript built a modern search stack to provide more relevant results to its users.

We’ve built a variety of custom GraphQL loaders to improve performance and provide a great developer experience.

Use a test ratchet to fix all the Ruby 3 kwarg errors and stop the bleeding

With Rails 7 being released at the end of last year, today I want to talk about our process for upgrading to Ruby 2.7 and Rails 6.1, and…

The concept of “similarity” is something that content-based recommendation systems and search engines have in common. Running a full text…

Let’s set the stage: my team messed up a data migration (aka a backfill) and now there’s data missing 😰

Fullscript, Stripe, Slack. What do these companies have in common? You guessed it, an API client ruby gem. But this wasn’t always the case…