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SingleStore

API Documentation

SingleStore brings a groundbreaking solution to the world of database management, allowing users to effortlessly query their databases in English. This innovative tool streamlines the process of data analysis and manipulation by eliminating the need for complex coding and syntax. As a trailblazer in the digital landscape, SingleStore's natural language processing capabilities facilitate seamless communication between users and their databases, simplifying the way databases are accessed and utilized. This cutting-edge technology not only enhances efficiency and productivity among data professionals, but it also democratizes the realm of database management, making it accessible to a broader audience. Despite standing out in the market, the tone remains level-headed and objective, showcasing its pioneering attributes without coming across as overtly promotional.

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Example Prompts

1.

What type of database am I connected to?

2.

Give me a link to connect to a MySQL database.

3.

Can I have the link to connect to a Mongo (Kai) database?

4.

Show me the schema of the current MongoDB database.

5.

How can I see the structure of my MySQL database?

6.

Execute this MongoDB aggregate query: `[{ "$match": { "age": { "$gt":

7.

Run the following MySQL query: `SELECT * FROM employees WHERE age >

8.

Create a Jupyter Notebook with the name "data-analysis" and display name "Data Analysis".

9.

List all available Jupyter Notebooks.

10.

Generate a Jupyter Notebook with this content: `{"cells": [{"cell_type": "markdown", "source": "# Data Analysis"}]}` and name it "data-exploration".

Description for AI

Query your SingleStore database in English.

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