SQL databases lack native vector search and indexing, leaving modern AI solutions struggling with text-heavy documents. Maintaining separate SQL and vector systems is costly and complex. MongoDB provides native vector search with crucial hybrid support, simplifying your architecture and cutting costs. It's the ideal backend for AI/ML apps and recommendation engines.
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