Metadata Filtering Before Vector Search: The Recall Win Nobody Measures

Metadata filtering can significantly improve recall in vector search by pre-filtering chunks based on metadata, such as customer ID, before ranking. This is often overlooked and can be implemented using libraries like Qdrant. By filtering out irrelevant chunks, the search space is reduced, and relevant chunks are more likely to be retrieved. To implement this, use a library like Qdrant and apply a hard predicate on metadata before vector search.