datahub-project/analytics-agent

Connect DSH to your database for conversational data analysis and actionable business insights.

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

Chat with your data - AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake, SQLite...

The Future of Data Engineering — A CLI SQL client for the modern data stack, enabling AI-native context engineering for data.

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.

Interact with your SQL database, Natural Language to SQL using LLMs

LLM-powered natural language data agent — no vector retrieval, pure JDBC multi-datasource support, with a semantic layer that maps business language to schemas.

Using LangGraph to build reliable SQL Agent

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data by implementing state-of-the-art NL2SQL / Text2SQL methods.