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4min chapter
Vector databases (beyond the hype)
Practical AI: Machine Learning, Data Science, LLM
The Future of Vector Databases
Quadrant is going about their own path in terms of how they achieve on-disc larger than memory data. So the performance there is already close to bare metal. It's really, really fast. And I think the future is heading towards one where on-disc becomes a requirement and the standard way of implementing an index. But the engineering challenge is still ongoing. The question for me that remains unanswered is which model in vectors database, vectors search will dominate in the longer term? Embedded versus client server, right? We are so used to the model of client server that's been working for more than a decade right now. Pretty much every database we've used is based on the client
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