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Why AI and SQL Go Together Like Peanut Butter and Jelly
The future of information retrieval combines the power of AI's natural language capabilities with advanced, scalable SQL systems for data access.
Modern SQL runs on distributed systems with thousands of CPU cores and advanced indexing for rapid searches (e.g., account IDs, vectorized text, images, videos) alongside extensible functions like fraud detection. By translating conversational input into structured queries, AI serves as an effective interface for data access, connecting human needs to complex database systems in a way that aligns with our natural communication patterns. For example, when asked the most populated city in Southern California, an LLM correctly responds “Los Angeles,” drawing on ingrained cultural knowledge built into its deep neural network rather than searching raw data.
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