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Using Vectorize to build an unreasonably good search engine in 160 lines of code

blog.partykit.io

21–28 of 28 posts

Re: Using Vectorize to build an unreasonably good search engine in 160 lines of code

#23
post #12

I had a discussion at work today about completely replacing the old search engine with vector embeddings because they work so well. I think google needs to be very afraid in the coming few years because this use of AI is relatively cheap to run, simple to deploy and the models are small enough that you can build one customized based on your personal ranking of several thousand pieces of text.

1) They work really well but not in all the cases and most likely the better approach is some augment between the two. OpenSearch/Elasticsearch already include hybrid approaches.

2) The moat is having a snapshot of the web and being able to search through it efficiently.

Re: Using Vectorize to build an unreasonably good search engine in 160 lines of code

#24

is there an easy way to disable the multiplayer cursors on that page?

What can compel a person to think something like this could be a good idea?

I bet there were a few people who said something like that the first time someone made music

Re: Using Vectorize to build an unreasonably good search engine in 160 lines of code

#28

is there an easy way to disable the multiplayer cursors on that page?

Block this: https://cursor-party.labs.partykit.dev/cursors.js

Unlike the recently frontpaged page, this one loads the annoying effects as 3rd party JS, so uMatrix automatically blocked it for me.

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