About Structured Data RAG

Not all data is text. We build RAG systems that handle structured sources via text-to-SQL (for precise queries), schema-aware retrieval (find the right table/column), and natural language → SQL → results → natural language answer flows.

What We Deliver

Text-to-SQL pipeline
Schema indexing for retrieval
Query validation + safety
Result formatting for LLM context
Hybrid structured + unstructured retrieval

Tools & Platforms We Use

LlamaIndex

Vanna AI

DuckDB

PostgreSQL

Our Process

1

Audit & Assessment

We analyze your current state, identify gaps, and benchmark against competitors.

2

Strategy & Planning

We create a detailed action plan with priorities, timelines, and measurable KPIs.

3

Implementation

Our specialists execute the strategy with precision and attention to detail.

4

Monitor & Optimize

We track results, analyze performance, and refine continuously for improvement.

Structured Data RAG