aws-solutions-library-samples/guidance-for-natural-language-queries-of-relational-databases-on-aws
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
This solution helps business analysts and other non-technical professionals get answers from complex databases without writing SQL queries. You type your question in plain English, and the system translates it into a database query, returning both the query and the answer in natural language. It's designed for anyone who needs quick insights from relational data but isn't a database expert.
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Use this if you need to quickly extract specific information or trends from a relational database using everyday language, rather than learning SQL.
Not ideal if your queries are highly complex, require real-time processing of massive datasets, or if your database schema uses obscure naming conventions that might confuse AI models.
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Oct 19, 2024
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