An SQL chatbot is a conversational agent or virtual assistant that is powered by SQL (Structured Query Language) to interact with databases and provide information or perform tasks based on user queries.

SQL chatbots utilize natural language processing (NLP) to understand user queries, translate them into SQL queries, and execute those queries against the database. They retrieve relevant information or perform requested actions based on the results.

SQL chatbots can perform various tasks, including:
Retrieving specific information from databases (e.g., product details, customer records).
Updating or modifying database records (e.g., adding new entries, updating existing data).
Executing complex queries to analyze data or generate reports.
Providing insights or recommendations based on database content.

Traditional chatbots often rely on pre-defined responses or scripted interactions, while SQL chatbots have the ability to dynamically retrieve and manipulate data from databases in real-time. This allows SQL chatbots to provide more personalized and data-driven responses.

The SQL bot can handle Excel and CSV files for data operations. Ensure that your chatbot sources do not include any other file types, regardless of the format.

Yes, The SQL bot is designed to create chatbots autonomously. It focuses on interacting with databases and processing data from files as part of its conversational capabilities.

Yes,The SQL bot is designed to create pie charts and bar charts for you according to excel file that you uploaded on SQL bot.