1. Ask a question in natural language
2. Kepler finds relevant tables and recalls past learnings
3. The AI agent generates SQL, executes it read-only, and validates results
4. Results appear with suggested charts when appropriate
It features persistent memory - it learns corrections, schema notes, and patterns across sessions, implemented using Qdrant + Ollama (nomic-embed-text).
An open-source text-to-SQL platform that lets you query data warehouses in plain English. It currently supports ClickHouse.
https://github.com/stym06/kepler
1. Ask a question in natural language 2. Kepler finds relevant tables and recalls past learnings 3. The AI agent generates SQL, executes it read-only, and validates results 4. Results appear with suggested charts when appropriate
It features persistent memory - it learns corrections, schema notes, and patterns across sessions, implemented using Qdrant + Ollama (nomic-embed-text).
Based on a recent research paper published by OpenAI https://openai.com/index/inside-our-in-house-data-agent/