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6min chapter
Vector databases (beyond the hype)
Practical AI
Exploring Innovation and Trends in Disk-Based Vector Databases
This chapter explores the landscape of disk-based K-nearest neighbor databases, emphasizing LanceDB's innovative approach to on-disk indexing. It discusses the challenges of implementing algorithms in real-world databases while comparing vendors and considering future trends in vector database solutions.
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AI-powered
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode