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Rag Sql Agent is a question answering tool designed to help users generate SQL queries and retrieve answers from travel-related databases. It allows users to ask questions in natural language and receive both the SQL query and the corresponding results. This makes it easier for non-technical users to interact with databases and extract the information they need without writing complex queries themselves.
• Natural Language Processing: Understands and interprets user questions in plain English.
• SQL Query Generation: Automatically constructs SQL queries based on the input question.
• Database Compatibility: Works with various database types, including MySQL, PostgreSQL, and SQLite.
• Result Retrieval: Provides both the SQL query and the actual results from the database.
• Canned Queries: Offers pre-built queries for common travel-related questions.
• Cross-Database Support: Can handle data from multiple sources simultaneously.
What databases does Rag Sql Agent support?
Rag Sql Agent supports a variety of databases, including MySQL, PostgreSQL, and SQLite. It is designed to be flexible and can work with most relational database management systems.
Do I need to know SQL to use Rag Sql Agent?
No, Rag Sql Agent is designed to be user-friendly for non-technical users. It allows you to ask questions in natural language and handles the SQL query generation automatically.
Can Rag Sql Agent handle multiple data sources?
Yes, Rag Sql Agent supports cross-database queries, enabling you to combine data from multiple sources into a single query. This makes it powerful for analyzing data from different travel-related systems.