Ask questions about travel data to get answers and SQL queries
Get personalized recommendations based on your inputs
Submit questions and get answers
Ask AI questions and get answers
Ask questions to get detailed answers
Answer medical questions
Generate answers from provided text
Answer exam questions using AI
Answer questions using text input
Generate questions based on a topic
Ask questions and get reasoning answers
Ask questions and get answers
Generate answers about YouTube videos using transcripts
Rag Sql Agent is a question answering tool designed to assist users in analyzing travel-related data. It enables users to ask questions in natural language and generates SQL queries to retrieve the required information. This agent is particularly useful for users who want to explore travel data without manually writing complex SQL queries.
• SQL Query Generation: Automatically creates SQL queries based on user questions.
• Filtering and Sorting: Handles conditions and ordering in queries to refine results.
• Complex Query Handling: Supports nested queries and joins across multiple tables.
• Error Correction: Detects and corrects potential errors in generated queries.
• Query Explanation: Provides explanations for generated queries to ensure transparency.
Example: If you ask, "List all hotels in Paris with a 5-star rating," the agent will generate the relevant SQL query and fetch the results from the database.
1. Can Rag Sql Agent handle multiple tables?
Yes, Rag Sql Agent supports queries that involve joining multiple tables to provide comprehensive results.
2. Does Rag Sql Agent support Wildcard searches?
Yes, the agent can generate queries with Wildcard operators to search for partial matches in your data.
3. Can I use Rag Sql Agent for databases other than travel?
Rag Sql Agent is primarily optimized for travel-related data. While it can technically process other databases, its performance may vary.