Introducing Yet Another Steam Recommendation Engine!
How we used Trieve to build a recommendation engine from the Steam game catalog.
How we used Trieve to build a recommendation engine from the Steam game catalog.
Use Firecrawl and Trieve to build search and RAG (in both Python and JS).
The history of HackerNews (HN) search spans three generations. Starting in 2007 with Disqus founder Jason Yan followed by a series of other sites, Octopart/ThriftDB-powered HNSearch in 2011, and finally Algolia-powered search from 2014 to today.
Guide on how we were able to stream LLM assistant completions in real time using Actix-Web.
Compared to Algolia, Trieve offers vector based search, manged RAG, and pricing based on rate limits instead of number of search queries
Trieve tutorial covering how to use Trieve in order to build an updated search UX for the YC company directory using Bun and SolidJS.