ichiwells

5 ms·

1. 1.▲
   by ichiwells 1y ago

   Thank you so much for sharing this! We are using ruby to build a powerful AI toolset in the construction space, and we love how simple all of the SaaS parts are and not reinventing the wheel, but the ruby LLM SDK ecosystem is a bit lagging,
2. 2.▲
   by ichiwells 1y ago

   Ichi | Remote (US) | Full-Time | Senior Software Engineer, Full Stack | LLM-powered construction code compliance Ichi is building an AI-powered professional toolset to transform construction permitting and code compliance. We're helpin
3. 3.▲
   by ichiwells 1y ago

   One of apple’s biggest missed with “AI” in my opinion, is not building a universal search. For all the hype LLM generation gets, I think the rise of LLM-backed “semantic” embedding search does not get enough attention. It’s used in RAG (whi
4. 4.▲
   by ichiwells 2y ago

   I would actually start with the Rails Guides docs, they’re very good and running the given commands should actually work: https://guides.rubyonrails.org/getting_started.htm Just have a toy app you want to build in mind
5. 5.▲
   by ichiwells 2y ago

   I run engineering for a venture backed AI-first startup and we use Ruby/Rails. For us, it made sense to leverage one of the best domain modeling and ORM frameworks out there. Most of our inference is http calls to foundational models,
6. 6.▲
   by ichiwells 2y ago

   > Finally, building HNSW indices in Postgres is still extremely slow (even with parallel index builds), so it is difficult to experiment with index hyperparameters at scale For anyone coming across this without much experience here, for