How does Select AI convert natural language questions into SQL queries?

How does Select AI convert natural language questions into SQL queries?

• A. It employs a database schema parser
• B. It connects to an LLM, infers the query intent, and formulates the SQL command
• C. It uses predefined SQL templates
• D. It matches keywords in the question to SQL syntax

Answer: (B)

The process by which Select AI converts natural language questions into SQL queries involves leveraging advanced technologies such as a large language model (LLM). The primary function of the LLM in this context is to understand the intent behind the natural language input. By interpreting the context and semantics of the question posed by the user, the LLM can generate a corresponding SQL command that accurately reflects the query intent. This approach allows for a more dynamic and flexible conversion process, as opposed to relying solely on static methods like predefined templates or keyword matching. The use of an LLM provides a higher level of understanding and adaptability to varied phrasing and complex inquiries, ultimately leading to more accurate SQL commands that align with the user's expectations.

The process by which Select AI converts natural language questions into SQL queries involves leveraging advanced technologies such as a large language model (LLM). The primary function of the LLM in this context is to understand the intent behind the natural language input. By interpreting the context and semantics of the question posed by the user, the LLM can generate a corresponding SQL command that accurately reflects the query intent.

This approach allows for a more dynamic and flexible conversion process, as opposed to relying solely on static methods like predefined templates or keyword matching. The use of an LLM provides a higher level of understanding and adaptability to varied phrasing and complex inquiries, ultimately leading to more accurate SQL commands that align with the user's expectations.