Redash-Chatbot-Add-on

Introduction

Redash, enhanced with a chatbot plugin, enables seamless conversational interactions for data exploration, analysis, and knowledge discovery. Users can inquire about dashboard information or generate SQL queries using Language Model-based techniques, facilitating autonomous knowledge discovery and data-driven decision-making.

Features

• Conversational Queries: Users can interact with Redash using natural language queries, making the process more intuitive and user-friendly.

• Interactive Responses: ChatGPT generates human-like responses, providing users with informative and contextual feedback on their queries.

• Data Visualization: The plugin allows users to visualize query results directly within the chat interface, enabling faster data exploration and analysis.

Getting Started

1. Install needed packages:

$ sudo apt -y install docker.io docker-buildx docker-compose-v2
$ sudo apt -y install build-essential curl docker-compose pwgen python3-venv xvfb
$ pip install -r requirements.txt

2. Add your user to the "docker" group:

$ sudo usermod -aG docker $USER

3. Install Node Version Manager

$ curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.3/install.sh | bash

4. Close and open the terminal so that nvm can be available.

5. Install NodeJS version 16

$ nvm install --lts 16
$ nvm alias default 16
$ nvm use 16

6. Install Yarn 1.x

$ npm install --global [email protected]

7. Clone the Redash source code and install the NodeJS dependencies

$ git clone https://github.com/natybkl/Redash-chatbot-add-on
$ cd redash-source-code
$ yarn

8. Generate your local environment variables file

$ make env

Add your OpenAI API key, with the name indicated below in the .env file:

OPENAI_API_KEY=*****************************************

9. Build the Redash front end

$ make build

10. Build local Redash Docker image

$ make compose_build

11. Start Redash locally, using the docker images you just built

$ make create_database
$ make up

The Redash web interface should also be available at http://localhost:5001, ready to be configured.

12. **Once you've finished confirming everything works the way you want, then shut down the containers with: **

$ make down