⚡ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered business intelligence in seconds. ️

🤩 Learn more about GenBI

Using Wren AI is super simple, you can set it up within 3 minutes, and start to interact with your data!

• Visit our Install in your local environment.
• Visit the Usage Guides to learn more about how to use Wren AI.
• Or just start with Wren AI Cloud our Managed Cloud Service. (OSS vs. Commercial Plans).

👉 Learn more about our Design

If your data source is not listed here, vote for it in our GitHub discussion thread. It will be a valuable input for us to decide on the next supported data sources.

• Athena (Trino)
• Redshift
• BigQuery
• DuckDB
• Databricks
• PostgreSQL
• MySQL
• Microsoft SQL Server
• ClickHouse
• Oracle
• Trino
• Snowflake

Wren AI supports integration with various Large Language Models (LLMs), including but not limited to:

• OpenAI Models
• Azure OpenAI Models
• DeepSeek Models
• Google AI Studio – Gemini Models
• Vertex AI Models (Gemini + Anthropic)
• Bedrock Models
• Anthropic API Models
• Groq Models
• Ollama Models
• Databricks Models

Check configuration examples here!

Visit Wren AI documentation to view the full documentation.

Subscribe our blog and Follow our LinkedIn

1. Star ⭐ the repo to show support (it really helps).
2. Open an issue for bugs, ideas, or discussions.
3. Read Contribution Guidelines for setup & PR guidelines.

• Join 1.3k+ developers in our Discord for real-time help and roadmap previews.
• If there are any issues, please visit GitHub Issues.
• Explore our public roadmap to stay updated on upcoming features and improvements!

Please note that our Code of Conduct applies to all Wren AI community channels. Users are highly encouraged to read and adhere to them to avoid repercussions.

⬆️ Back to Top