Asimov is a unified platform for Vector Search for AI Agents. You can just upload your sources, documents or pretty much anything — and use Asimov to search from those sources with a single API Request. No need to manually embed, chunk, re-rank and manage a vector database ever again.
Hey Product Hunt! Hamza here, the founder of Asimov.
As a developer, I had a lot of problems while building RAG in Applications and Agents. Every single time, I had to build chunking, embedding, re-ranking and searching APIs + setting up a vector database with filtering, FROM SCRATCH!
So I built Asimov, that gives you production-ready platform to add your documents or sources and search from them with a SINGLE API endpoint, without managing a Vector Database or using an Embedding/Re-ranker Models.
🚀 Here's what it provides:
- APIs for adding and searching content.
- Faster search with re-ranking than 90% of the providers. (we host our own models)
- Custom parameters for filtering the sources.
- Interactive Playground to test the Search on your contents.
- Track API usage and events.
- 24/7 Support for any request
My goal is to make AI backend infrastructure as simple as possible for developers and I hope Asimov could achieve the developers to do that.
We'd love to get your feedback and suggestions for what else we could do to improve Asimov for you.
- Hamza
Congrats on the launch this is really solid!
I noticed your product likely needs developer-facing onboarding or API documentation as you scale.
If you're still refining your docs / quickstart flow, I specialize in making integration steps clearer so devs can get started faster (and ask fewer support questions).
If helpful, I can review your current documentation or setup flow and send back clarity suggestions. No pitch just useful developer experience feedback.
Congrats on the launch, Hamza!
I also work in the space, and that's definitely an interesting direction. The thing I would love to have is the ability to sync between different data sources.
