From 70K to 2K Tokens: Optimizing SQL Generation with RAG Architecture

A developer tackled the challenge of generating SQL queries for over 100 company database tables by implementing a RAG (Retrieval-Augmented Generation) architecture using Amazon Bedrock's Claude 3 and Qdrant vector database. The solution dramatically reduced token consumption from 70,584 to just 1,906 tokens per request, cutting costs by 97% from $0.0176 to $0.0005 per query while enabling easier business insights without memorizing complex table schemas.