py-dbchat 0.0.2rc121.post1

Chat with your existing database without using vector DB.

DBChat

An agentic AI application for chatting with existing databases

Features

• Uses an Agentic approach to answer to user's question
• Safe from user executing malicious DDL queries.
• Can add Data-safety by only exposing certain tables and columns in the schema.
• Doesn't expect the LLM to generate executable code, rather behaves as an reasoning engine
• reduced hallucinations and more deterministic in nature
• no need for vector DBs
• Supports all relational databases supported by sql alchemy. Refer https://docs.sqlalchemy.org/en/20/dialects/

How to Run?

docker pull dhanilan/dbchat
docker run -p 5173:5173 -p 8000:8000 dhanilan/dbchat

default database to save connections and conversation is mongo at mongodb://localhost:27017/dbchat

if you want to save them at specific mongo database pass it as an env

docker run  -p 5173:5173 -p 8000:8000 -e DB_URL=mongodb://localhost:27017/dbchat dhanilan/dbchat

if you want to run spider dataset from https://yale-lily.github.io/spider

docker run  -p 5173:5173 -p 8000:8000 -e DB_URL=mongodb://localhost:27017/dbchat -e ATTACH_SPIDER_DATASET=1 dhanilan/dbchat

using docker-compose

The docker compose also comes with a chinook database for testing. You can use it by adding a connection to the chinook database in the UI use postgresql+psycopg2://postgres:postgres@chinook:5143/chinook as the connection string

update the docker-compose.yml with the required envs if neccessary and run

docker-compose up -d

Architecture

Built with Autogen.

Development

Dev container contains all the necessary deps , mongodb storing the schema and chat history , conversations, settings etc and also a chinook database in postgres for playing around

Installing dependencies

UI

pip install -r requirements.txt

server

cd src/ui && npm i

To run the Application in local

UI

cd src/ui && npm run dev

API

cd src && uvicorn api.main:app

Open the UI

By default opens in http://localhost:5173/

Goto setting to save the OPEN AI API key

connect to dev container chinook db

postgresql+psycopg2://postgres:postgres@localhost:5432/chinook

Roadmap

• Complete image as docker and run ui and backend
• fix bug of connections
• Test for mysql , pg and sqllite etc
• put a nice readme with how it works
• clean up some code for now