Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!
Fairly straightforward. Qdrant allows you to specify a score_threshold for search requests and recommended requests.
https://qdrant.tech/documentation/concepts/search/#filtering-results-by-score