liminal 🦠 on Nostr: First you think about the regular text search capabilities that already exist on ...

First you think about the regular text search capabilities that already exist on nostr - that's already a massive plus over navigating papers. But then you add in vector embeddings for semantic search and we're in a new world of untapped potential...

quoting nevent1q…00zl

Still very much a demo, but now here it is. AI + Nostr:
1) Text search on the title + author of a note
2) Semantic search on content



Example: "The cat chased the mouse" is semantically similar to "Felines hunt their prey at night" even though they don't have any words in common.

What this means is that you don't need an exact match of the text, you just need to type in words you think are related and it will retrieve the K closest events that are "semantically similar"



nevent1q…tcze