Thanks for the insights, really appreciate them! I work at Qdrant, and if there is any way to ease the start with using it, then we're eager to think about it.

Thanks for the insights, really appreciate them! I work at Qdrant, and if there is any way to ease the start with using it, then we're eager to think about it. However, it's way easier to do it with a tool like Stripe, which essentially simplifies one thing. Qdrant should be rather compared to databases like Postgres or MongoDB, but designed to support quick vector search. There is plenty of possibilities of how to use it, including semantic search, image search, anomaly detection, etc. so we don't want to bring a single topic as if it was the main use case. That's why we rather focus on a variety of tutorials and demos, covering different domains. However, we can surely think of an example based on your data, let's talk! :)