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

Qdrant, a leading vector search technology provider, has launched BM42, a revolutionary algorithm that enhances hybrid search capabilities. By combining the strengths of BM25 with modern transformer models, BM42 offers efficiency, low memory usage, support for multiple languages and domains, and versatility. Practical Implementation: BM42 seamlessly integrates into Qdrant’s vector search engine, providing a balanced approach with dense embeddings to improve retrieval accuracy. Community Engagement: Qdrant encourages developers and researchers to experiment with BM42, collaborate on projects, and contribute to its ongoing development, fostering community engagement and innovation. Value: The release of BM42 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: To leverage AI for your company's advancement and utilize Qdrant’s BM42 to stay competitive, connect with us at hello@itinai.com for AI KPI management advice and continuous insights into leveraging AI. Discover AI for Sales Processes and Customer Engagement: Explore AI solutions at itinai.com to redefine your sales processes and customer engagement. Useful Links: - AI Lab in Telegram @itinai – free consultation - Twitter – @itinaicom