Advanced RAG for Database without exposing DB Data: Text to SQL

This post discusses a method to interact with databases without exposing sensitive data by using LangChain, OpenAI's language models, and SQLAlchemy. It explains how to extract the database schema and generate SQL queries in response to user questions. The proposed approach circumvents data exposure by using the schema as input instead of actual data, addressing privacy concerns. Example code snippets demonstrate key components of the system, including extracting the schema, creating prompt templates, and generating SQL queries. Drawbacks like context length limitations and potential query inaccuracies are also highlighted.