https://github.com/davidkiss/langgraph-dynamic-sql-queries
A sample text-to-sql chatbot that can answer questions about Netflix movies by dynamically generating syntactically correct SQL queries using Python, ChatGPT, LangGraph and LangChain's `SQLDatabaseToolkit`.
https://github.com/davidkiss/langgraph-dynamic-sql-queries
langchain langgraph python sql text-to-sql
Last synced: about 2 months ago
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A sample text-to-sql chatbot that can answer questions about Netflix movies by dynamically generating syntactically correct SQL queries using Python, ChatGPT, LangGraph and LangChain's `SQLDatabaseToolkit`.
- Host: GitHub
- URL: https://github.com/davidkiss/langgraph-dynamic-sql-queries
- Owner: davidkiss
- Created: 2025-07-01T21:09:19.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-07-02T14:03:53.000Z (12 months ago)
- Last Synced: 2025-07-02T15:23:13.755Z (12 months ago)
- Topics: langchain, langgraph, python, sql, text-to-sql
- Language: Python
- Homepage:
- Size: 546 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Overview
Sample text-to-sql chatbot that can answer questions about Netflix movies by dynamically generating syntactically correct SQL queries using Python, ChatGPT, LangGraph and LangChain's `SQLDatabaseToolkit` based on LangChain's sample [SQL Agent](https://langchain-ai.github.io/langgraph/tutorials/sql-agent/).
## Technology Stack
- **[LangChain](https://langchain.com/)**: An opens-source framework that helps developers build applications powered by large language models (LLMs)
- **[LangGraph](https://langgraph.dev/)**: An opens-source framework by LangChain for building and managing complex AI agents using graph-based architecture
- **[ChatGPT](https://openai.com/chatgpt)**: A popular LLM provided by OpenAI
- **[Gradio](https://gradio.app/)**: A popular opens-source library for building web interfaces for machine learning models. This project uses Gradio to create a web interface for the chatbot.
- **[LangSmith](https://smith.langchain.com/)**: An opens-source framework by LangChain for tracing and monitoring LLM applications.
- **[uv](https://github.com/conda-forge/uv)**: A fast opens-source Python package manager - a drop-in replacement for `pip`, `conda` and `virtualenv`.
## Setup
### 1. Install uv
Follow the instructions here to install uv, if you haven't already.
### 2. Install Dependencies
```bash
uv sync
```
### 3. Set Up OpenAI API Key
Create a .env file in the project root:
```bash
# .env
OPENAI_API_KEY=your-openai-api-key-here
```
For tracing using LangSmith [create a free account and API key](https://docs.smith.langchain.com/administration/how_to_guides/organization_management/create_account_api_key) and include these environment variables in the `.env` file:
```bash
LANGSMITH_TRACING=true
LANGSMITH_API_KEY=your-langsmith-api-key
```
### 4. Download DB script
```bash
curl -L -o netflixdb.sqlite https://github.com/lerocha/netflixdb/releases/download/v1.0.9/netflixdb.sqlite
```
### 5. Run the chatbot
```bash
uv run main.py
```
Try the chatbot here: [http://127.0.0.1:7860/](http://127.0.0.1:7860/).
Example questions:
- "what are the most viewed movies?"
- "what are the TV Show Seasons released since 2024-01-01?"