MOSS benefits any team or developer who wants to add "ask anything" semantic search and personalization without standing up extra backend services. That includes `indie devs`, `small SaaS teams`, `mobile apps`, and `privacy-conscious or regulated products` where sending data to the cloud is problematic. By bundling the entire stack - embeddings, vector DB store, and retrieval - into a lightweight on-device module, you avoid months of backend integration, reduce ongoing costs, and unlock private, instant UX even offline. Beyond search, we see this enabling per-user personalization without the privacy trade-offs of cloud-based systems.
Truly loved Financial Statements. It's exactly what I was looking for. Do you have any other book recommendations? Be it 'tutorial-like' approach or other
There's no better resource than Harvard's CS50. Start with CS50's regular lessons (Professor David Malan). Later on, you can do CS50 web development, with Brian Yu. The later has entire lessons on Git and CI/CD.
Is this a good option to host sensitive data? I'll have to opt on a backend to store medical data in my app. I had discarded Firebase due to some opinions I found on the web stating it would not be the best option.
It's not a good option for medical data. Also, we are far too early and need to go through a security audit.
At some stage we will make it easy to self-host, and at that point it might be worth checking out again. If you need any recommended alternatives, feel free to message me (email in my profile)