this post was submitted on 24 Jun 2023
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Lemmy
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Everything about Lemmy; bugs, gripes, praises, and advocacy.
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I'm using the public API to grab every post / comment and then I essentially replace the content with only the unique words. Then when you go to search it just looks for any post or comment, in my database, that has the words you typed in. Finally I sort based on the number of upvotes.
Right now it only craws a specific instance that you point it to. But as long as that instance is federated it /should/ get everything. But eventually I plan on using that instance's list of federated instances to scan everything and lighten the load on any one particular instance.
Edit: I thought about tapping into the existing database but the existing database is more geared towards serving content but not necessarily searching. The database that I'm building you can search but I drop so much of the original data that using it for content is worthless.
Now I'm curious what your stack is? Are you using an elastic database? Have you considered possibly using something like Azure Cognitive Search (hosted Elastic with AI/ML functions to add some NLP to your data/queries)? Bing uses it as part of their backend.
HTML + JavaScript frontend. Rust backend with a postgres database.
It'll be open sourced once I can get the MVP ready.