Qdrant

Qdrant is a vector database optimised for similarity search with advanced filtering. It supports payload-based filtering alongside vector queries, which is important when you need to combine semantic search with structured constraints.

I use Qdrant for search systems that need to filter results by metadata while still ranking by semantic similarity - for example, finding similar products within a specific category, or searching documents filtered by date range or department.

For Barnsley businesses, Qdrant works well when your search needs combine "find something similar to X" with "but only within these constraints". It handles both efficiently in a single query.