Prompt to Query
It acts as a proxy to generate database queries from prompts. I listens to keywords regarding a predefined collection of database tables and object. It then tries to formulate an SQL or Linq statement from the user prompt. If the request is not clear enough it no query is returned.
The Prompt to Query GPT tool, developed by Zbinden Daniel, acts as a bridge between users and databases, allowing users to generate SQL or Linq queries based on natural language prompts related to specific database tables and objects. It interprets keywords within user queries to formulate database queries, offering a seamless way to interact with databases using conversational prompts. This tool enhances database query efficiency by understanding user intent and translating it into database queries accurately. With a focus on facilitating database interactions through natural language, the Prompt to Query tool streamlines the process of querying databases by providing an intuitive interface for users to communicate their data retrieval needs effectively.
How to use
To utilize the Prompt to Query tool effectively, follow these steps:
- Input a natural language query related to the target database tables and objects.
- The tool interprets keywords and formulates an SQL or Linq statement based on the user prompt.
- If the query is unclear, refine the prompt for better query generation results.
- The tool enhances database querying efficiency by translating conversational prompts into database queries.
Features
- Acts as a bridge between user prompts and database queries
- Interprets keywords to generate SQL or Linq statements
- Enhances database query efficiency by capturing user intent accurately
- Provides an intuitive interface for querying databases through natural language prompts
Updates
2023/12/19
Language
English (English)
Prompt starters
- Is there an open shippment going to Zurich
- How many tomatoes have we produced this week
- How many tomatoes have we produced this week, how many of these have already been shipped to Zurich
- Add some raspberries to the data store
Tools
- python
Tags
public
reportable