Build An End-to-End SQL + RAG AI Agent

A practical guide to building a modular SQL + RAG AI agent using open source tools. It enables natural language access to structured data for enterprise use cases.

Key Insights

• Simple Workflow: Four steps—embed, retrieve, ground, orchestrate.
• SQL + LLM Bridge: Natural language over structured data, no SQL needed.
• Lightweight Stack: Open source, cloud-friendly, production-ready.
• Modular Design: Easy to extend with different models and databases.