GRIET-CSE- 2023-24-Batch-D6-Natural Language SQL Query Agent

The increasing requirement for interfaces that are user-friendly and intuitive for database
querying has driven the development of systems that empower users to create SQL queries
using natural language. Techniques in Natural Language Processing (NLP) have emerged
as a promising solution to bridge the gap between human language and SQL queries. Users
can express their information requirements in a conversational and natural manner, making
the querying process more accessible to a wide range of users, including those with limited
technical proficiency, thereby enabling users to interact with databases without requiring a
deep grasp of SQL syntax or database schema. The process encompasses multiple stages,
including deciphering the query's intent from the user's input, linking natural language
components by extracting appropriate SQL constructs, composing the SQL query,
execution against the local database and retrieval the relevant data and ultimately presenting
outcomes in the form of natural language responses. The iterative nature of the interaction
enables users to clarify their requirements and retrieve precisely targeted information.