Viewing profile — dhruv_anand

I built a small CLI that unifies launching local coding agents. Instead of remembering different flags for Codex, Claude Code, Cursor Agent, OpenCode, and Antigravity CLI, I use on…

While building semantic search and LLM-powered apps, one needs to try out various vector databases because they differ widely in feature set, cost and other characteristics. The Ve…

Things are what people call them. Featurization/Feature Extraction used to refer to manual feature engineering, where you could tell what each numerical value is. Vectorization, as…

for vector sinks , it would be good to integrate with Vector-io ( https://github.com/ai-northstar-tech/vector-io ) which provides import functions for ~10 vector databases already.…

nice library. for text embeddings, it would be good to integrate with a framework like litellm, which has enabled doing embeddings using a variety of methods and API providers: htt…

Can you link to your solution?

While building semantic search and LLM-powered apps, one needs to try out various vector databases because they differ widely in feature set, cost and other characteristics. The Ve…

Is your YOShInOn RSS reader available as an app or open-source library?

Not sure if this helps, but you can create embeddings using transformers.js (feature extraction pipeline) in the browser.

You can have a look at this sheet: https://docs.google.com/spreadsheets/d/170HErOyOkLDjQfy3TJ6a... It shows which Vector DBs have a particular feature. "In-built Text Embeddings cr…

They have it. It's called Bard. It's just not as good as one might expect from them.

Why not index a DB of competitors. Something like crunchbase or an open equivalent?

cool idea!

Perplexity.ai and a whole bunch of other companies are doing this.

https://news.ycombinator.com/item?id=36105660 Models under sentence-transformers are commonly used by people. You can check this leaderboard, where OpenAI's embeddings are outperfo…

https://docs.trychroma.com/getting-started?lang=js#:~:text=C...