BM42: New Baseline for Hybrid Search - Qdrant
Introducing BM42 - a new sparse embedding approach, which combines the benefits of exact keyword search with the intelligence of transformers.
Summary
Qdrant is an Open-Source Vector Database and Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.
Personal Notes
This combines vector embedding indexing and traditional search ranking techniques (BM25) for a hybrid approach (BM42)
