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[-] sebastiancarlos@lemmy.sdf.org 2 points 1 week ago* (last edited 1 week ago)

Hey, absolute props for replying to my code by making a counter-code of your own!

I don't have the time to look into this right now, but wanted to say that this is the best I could hope of posting my random projects here: Having someone else tell you what they would do instead.

And for context, this was a weekend experiment. I wanted to try building "agentic stuff," and exploring the not-so-promising intersection of information theory, LLMs, and code quality.

Will edit later after I read yours.

[-] MagicShel@lemmy.zip 2 points 1 week ago* (last edited 1 week ago)

This is how RAG pipelines work. You chunk up text and then embed it, which gives you a vector representation of the text. You store that in a database keys in the vector Then when you want to inject relevant information for a prompt, you embed the prompt to get a vector, and then dump the a handful of most similar chunks into context to provide additional information.

So this semantic similarity question has been in my mind for a while to answer the question of what names would be the most "intuitive" for an LLM.

Does it work? shrug I guess we'll find out.

this post was submitted on 15 Aug 2026
-38 points (13.5% liked)

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