Qdrant Unveils BM42: A Cutting-Edge Pure Vector-Based Hybrid Search Algorithm Optimizing RAG and AI Applications

Qdrant Unveils BM42: A Cutting-Edge Pure Vector-Based Hybrid Search Algorithm Optimizing RAG and AI Applications

Qdrant Unveils BM42: A Cutting-Edge Pure Vector-Based Hybrid Search Algorithm Optimizing RAG and AI Applications

Practical Solutions and Value

Qdrant, a leading provider of vector search technology, introduces BM42, a new algorithm designed to revolutionize hybrid search. BM42 combines the strengths of BM25 with modern transformer models, offering a significant upgrade for search applications.

Advantages of BM42

BM42 offers several advantages over BM25 and SPLADE, including efficiency, low memory footprint, support for multiple languages and domains, and versatility.

Practical Implementation

BM42 can be seamlessly integrated into Qdrant’s vector search engine, allowing for a balanced approach with dense embeddings to enhance retrieval accuracy.

Encouraging Community Engagement

Qdrant invites developers and researchers to experiment with BM42, share their projects, and contribute to its ongoing development, fostering community engagement and innovation.

Conclusion

The release of BM42 by Qdrant sets a new standard for hybrid search, offering a versatile, efficient, and highly accurate solution for today’s search applications.

Discover AI Solutions for Your Business

If you want to evolve your company with AI, stay competitive, and use Qdrant’s BM42 for your advantage, discover how AI can redefine your way of work. Connect with us at hello@itinai.com for AI KPI management advice and continuous insights into leveraging AI.

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