TalkQ -- Effortless Data Query, Like Chatting

In the fast-paced world of business, having quick and efficient access to your data is crucial. Whether you're analyzing sales trends, tracking inventory, or generating reports, you need a reliable tool that can retrieve the information you need, when you need it. This is a smart Query Tool – TalkQ， You can straight talk with your data.

TalkQ is a platform for retrieving data from a database User-friendly interface built with Chainlit Utilizes OPENAI as its Language Learning Model (LLM).

Features

• Advanced Query Capabilities

  • Simple Query Creation: Use our guided query builder to create queries with just a few clicks. No complex syntax to learn!
  • Filters and Sorting: Quickly narrow down your results with filters and sorting options to find exactly what you're looking for.

• Supported formats

  • Database Integration: TalkQ connects seamlessly with your existing database, such as MySQL,postgreSQL,Access.

• Personalized Data

  • Each user has their own private query data.
    • Saved Queries: Select your favorite historical queries from the left sidebar
    • Editable Queries: Modify previous queries, For example, reply with "May" to change "June sales of product A" to "May sales of product A."

• Benefits to Your Business:

  • Accelerate Decision-Making: Quickly access the data you need to make informed decisions.
  • Improve Efficiency: Streamline your data retrieval process, saving time and reducing manual effort.
  • Enhance Productivity: Empower your team to find and use data independently, without relying on IT support.
  • Gain Insights: Leverage advanced data analysis tools to uncover trends and insights that drive business growth.

Demo

• How to

1. Upload Data: Upload your Excel or CSV data file to the cloud.

2. Ask Questions: In the chat interface, type your question, such as "What are the sales of product A in the last month?"

   2.1 The system will output the result in table format.

   2.2 Type：chart. The system can generate statistical charts.

3. Save Queries: If you're satisfied with the result, you can save the query. The saved query will appear on the left sidebar.
   • You can delete historical queries from the favorites in the left sidebar.

• Demo Animation
  • An animation demonstrating the usage process is currently being created. Please wait for its completion.

Installation

• Clone the repository:

  git clone https://github.com/harusamei/zebura/talkq.git

• Navigate to the project directory:

  cd talkq

• Install the required dependencies:

  pip install -r requirements.txt

Documentation

Read the Wiki for more information

License