Assuming the generated SQL query is well-formed, the query results will be converted into a textual explanation. Questions will be converted into SQL queries and executed against the database. Using LangChain’s SQL Database Chain and SQL Database Agent, we can leverage large language models (LLMs) to ask questions of an Amazon RDS for PostgreSQL database using natural language. It parses for keywords and generates relevant answers sourced from related databases, with results typically delivered as a report, chart or textual explanation that attempt to answer the query, and provide depth of understanding.” To paraphrase analytics workflow product vendor YellowFin, “ Natural language query (NLQ), also known as natural language search, is a self-service business intelligence (BI) reporting capability that enables analytics users to ask questions of their data.
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