Chunking Strategies for Structured Data in RAG Systems (Part 2): Where Text-to-SQL Falls Short
This is Part 2 of a three-part series. Part 1 covered how to chunk structured data so a retriever can find it. This article covers the first query pattern, i.e., RAG-based Text-to-SQL. We discuss what works, what doesn't, and where it hits its limit. Part 3 will cover the agentic approach that solved the hard cases.
The Question Part 1 Left Unanswered
In Part 1, we solved a specific problem: default RAG chunking breaks on structured data, and there are six strategies to fix it. By the end of that article, your tables are indexed, your schema is retrievable, and your embeddings are in place.
But a retriever finding the right chunk is only half the problem. The other half is what the system actually does with what it finds.
A business user asks: "What was the total revenue from our top 10 SKUs last quarter, broken down by...
Copyright of this story solely belongs to hackernoon.com. To see the full text click HERE
