{"id":8116,"date":"2026-08-10T09:52:05","date_gmt":"2026-08-10T09:52:05","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-text-to-sql-spring-ai-implementation-with-rag-2024-12\/"},"modified":"2026-08-10T09:52:05","modified_gmt":"2026-08-10T09:52:05","slug":"udemy-text-to-sql-spring-ai-implementation-with-rag-2024-12","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-text-to-sql-spring-ai-implementation-with-rag-2024-12\/","title":{"rendered":"Udemy \u2013 Text-to-SQL Spring AI Implementation with RAG 2024-12"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Text-to-SQL Spring AI Implementation with RAG Course. In today\u2019s world, building AI applications has become very popular. For Java developers, the best choice for building these applications is to use Spring AI. To learn how to use Spring AI to build AI applications, we need a practical example. Text-to-SQL is a common application of AI to increase productivity. Using Text-to-SQL, non-technical people can describe query requirements from a database using natural language. These queries are sent to Large Language Models (LLM). LLM can generate SQL statements to answer user queries. Also, LLM can use tools to execute SQL statements and return query results to the user. Text-to-SQL is a good example of AI applications.<\/span><\/p>\n

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What you will learn in the Text-to-SQL Spring AI Implementation with RAG course:<\/span><\/strong><\/h3>\n