Generated Knowledge Prompting involves providing additional data or context to the LLM along with the query to enhance the quality of responses.
By feeding structured information related to the domain, such as a database schema for SQL queries, the LLM can generate more accurate and relevant results.
Providing schema details guides the model in constructing correct SQL syntax, converting natural language queries into actionable SQL statements.
Generated Knowledge Prompting is beneficial for tools enabling non-technical users to query databases, automating database interactions in chatbots, and reducing the learning curve for SQL.