Way to go 🚀
We trained a 400M parameter model that outperforms Gemini at similarity search! @vectorpath_ai
Search should understand intent, not just keywords. So we trained a conversational search model that does exactly that.
A thread on why this matters & where search is heading 🧵👇
🚀 Huge milestone for VectorPath! Our SearchMap model just hit 1,000 downloads in 24 hours on @huggingface 🎉
We’re building the future of search — fast, conversational, intent-driven. If you’re curious, check it out and see the magic in action.
👇 Links in the thread!
6/ You can check out the model on @huggingface on huggingface.co/vectopath/Sea… or try out the demo vectorpath.ai/demo.
5/ We believe in open-source and community-driven development. This model is released for free. Let’s build the future of search together.
4/ Our research preview model is already showing promising results. It’s up on @huggingface , and we’re still running evaluations but seeing 120+ downloads in 2 days tells us there’s real demand for this approach.
3/ SearchMap is designed to transform search across e-commerce, music, video, social media, and more. It captures user intent and retrieves the most relevant results, even for complex, natural language queries.
2/ Imagine searching an e-commerce site with: “Cereal for my 4-year-old who skips breakfast” and getting exactly the right results. That’s what SearchMap makes possible.
1/ Search today is still stuck in the world of rigid keywords. We’re building a future where search feels like a natural conversation — intuitive, context-aware, and personalized.
🚀 Big news from @VectorPathAI! We just launched the research preview of SearchMap — our conversational search embedding model, and it’s already taking off with 120+ downloads on @huggingface in just 2 days!
Here’s why we think this changes the game for search. 🧵👇



