Steam Embedding Search
A web application for searching Steam games using embeddings generated from game descriptions and reviews.
A web application for searching Steam games using embeddings generated from game descriptions and reviews.
A brief implementation overview of the entire project and how it was put together, including definitions and background information needed to understand how it works.
Covering how to query the Steam API to get game data, and how to store it in a database from Python. It also covers some issues that arose along the way.
This post covers how I used Instructor to create embeddings for my database. Details involved include how I implemented chunking, and how I stored embeddings in sqlite3.