Qdrant Introduces BM42: Hybrid Search For Enhanced RAG
What is Qdrant's newly unveiled search technology called?
Qdrant's newly unveiled search technology is called BM42. It is a hybrid search algorithm that combines the precision of traditional keyword search with the intelligence of AI-powered vector search. This innovative approach enhances retrieval-augmented generation (RAG) applications by improving accuracy, reducing computational power requirements, and working with different languages and specialized vocabularies without extensive retraining.
How does BM42 differ from traditional search engines?
BM42 is a hybrid search algorithm that combines traditional keyword search with AI-powered vector search, offering more nuanced results by understanding context and meaning1. Unlike traditional search engines, BM42 uses sparse vectors for exact word matching and dense vectors for capturing overall meaning and context, providing improved accuracy and reduced computational power for AI applications1.
What are the key benefits of the BM42 algorithm?
The BM42 algorithm offers several benefits, including improved accuracy by combining keyword and contextual search, quick results with less computational power, support for multiple languages and specialized vocabularies without extensive retraining, and enhanced AI-generated text with more accurate and relevant information.