NLSQL
NLSQL is a B2B Software-as-a-Service (SaaS) solution that enables businesses to make informed decisions using
Introduction:
Are you tired of spending hours writing complex database queries?
Introducing QueryGenie, the AI-powered tool that makes database query generation faster and easier.
With QueryGenie, you can simply describe your query in plain English, and our state-of-the-art AI model, like GPT3, will understand it along with your database schema to generate the query for you.
Best of all, QueryGenie is free to use, offering 20 credits (1 credit = 1 query) upon signup. Need more? Additional credits can be purchased as needed.
While the accuracy of the generated query depends on the clarity of your input, we recommend reviewing it before use. Currently, QueryGenie supports PostgresQL databases, but stay tuned as we add support for more databases in the future.
Overview:
QueryGenie is an AI-powered tool designed to make writing database queries faster and easier. It leverages the latest state-of-the-art AI model, such as GPT3, to understand the user’s plain-english description and the schema of the database.
This information is then used to generate the query. It is free to use, with 20 free credits (1 credit = 1 query) on signup. However, additional credits can be purchased if needed.
The accuracy of the query generated depends on how ambiguous the input is, so users are advised to review the query before using it. Currently, only PostgresQL databases are supported, but more databases will be added in the future.
Benefits:
- QueryGenie uses AI models like GPT3 to understand plain-English descriptions and database schemas, making query writing faster and easier.
- It is free to use with 20 free credits on signup, where each credit equals one query.
- Additional credits can be purchased if needed.
- The accuracy of the generated query depends on the clarity of the input, so users should review the query before using it.
- Currently, QueryGenie supports PostgresQL databases, but more databases will be supported in the future.
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