Generate vector embeddings for all startup descriptions #betalist

Ask author of `neighbors` gem how to optimize my SQL queries, because I just realized that by adding vector embedding to the todos, we're now loading ~25x as much data whenever we're loading todos from the database even though in 99% of cases we don't need the embeddings #wip – github.com/ankane/neighbor/is…

create embeddings from list of items I wanna search #aiplay

sequenced a list for todos on #wp

Create embedding for all 20k product descriptions so we can hopefully do audience similarity search for products #thieve

Add Open Graph cards for todos #wip

get all todos #wipfred

Explore the world of vector embeddings with Cohere

Rerun some embeddings #life

Write a bunch of todos for various projects

play with openai embeddings #life

update embeddings algo to deal with sections longer than embedding token limit #ai

Implement Twitter-like image layout for todos with multiple images #wip

replace all instances of todo’s with todos #wip h/t @daniellockyer

Make successful semantic queries with vector embeddings

create first todo

Write down all todos for today #life

research Open AI embeddings #reva

Create article content embeddings

Find similar startups by nearest vector embeddings instead of tags #betalist