Chat-based SQL client using natural language
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SQL Chat is a chat-based SQL client designed to translate natural language queries into SQL commands for database operations. It targets developers and data professionals seeking a more intuitive interface than traditional SQL clients, enabling query, modification, addition, and deletion of data through conversational interaction.
How It Works
Built with Next.js, SQL Chat leverages large language models (LLMs) to interpret natural language prompts and generate corresponding SQL queries. This approach aims to simplify database interactions by abstracting away complex SQL syntax, making database management more accessible and efficient. It supports multiple database backends and allows for self-hosting of AI models via Ollama for greater control over data privacy and costs.
Quick Start & Requirements
docker run --name sqlchat --platform linux/amd64 --env NEXTAUTH_SECRET="$(openssl rand -hex 5)" --env OPENAI_API_KEY=<<YOUR OPENAI KEY>> -p 3000:3000 --hostname localhost sqlchat/sqlchat
pnpm i
, pnpm prisma generate
, and configuring .env
with API keys and database URLs.Highlighted Details
OPENAI_API_ENDPOINT
.sqlchat.ai
service requires whitelisting 0.0.0.0
for IP connections.Maintenance & Community
The project appears to be actively maintained, with a presence on GitHub and community support channels likely available through linked social media or Discord/Slack if provided.
Licensing & Compatibility
The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.
Limitations & Caveats
The sqlchat.ai
service uses dynamic IPs, necessitating broad IP whitelisting (0.0.0.0
) for database connections, which may be a security concern. The project's reliance on OpenAI's API means performance and availability are subject to OpenAI's service.
3 weeks ago
Inactive