ChatDB - RDS Database Chat App
ChatDB - an RDS Database Chat App is a Streamlit-based application that allows you to connect and communicate with any database. You can run this app using Docker for easy deployment. With this app, you can start a conversation with your database and retrieve information as needed. This app performs way better than langchain's SQL agent and cost way less.
It is recommended that you create a user without write permissions to connect with this agent, since this agent might perform DML statements on your database. Use with care!!
To run the app in a Docker container, follow these instructions:
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Make sure you have Docker installed on your system.
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Clone the repo to your local machine and navigate to the app directory by running the following commands:
git clone https://github.com/chatdbtech/chatdb.git cd chatdb
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Build the Docker image by running the following command in the same directory as your Dockerfile:
docker build -t chatdb .
- Once the image is built, you can run the container using the following command:
docker run -d -p 8501:8501 chatdb
This will start the app inside a Docker container and expose it on port 8501.
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Create a
.env
file in the root directory of the app if it doesn't already exist. -
Open the
.env
file and add the following line with your OpenAI API key:OPENAI_API_KEY=your-openai-key
ChatDB is designed to connect to your database and allow you to communicate with it. Here are the steps to get started:
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Enter the URI of your RDS Database in the text box provided.
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Click the Start Chat button to initiate the chat with your database.
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Enter your message in the text box below and press Enter to send the message to the API.
- Enter your message in the chat input box, and the app will display the response from your database. You can have a conversation with the database by entering messages and receiving replies.
If you have any questions, comments, or suggestions about this app, please feel free to contact us.
Enjoy using the ChatDB to interact with your database through a user-friendly interface!