Financial NL-to-SQL RAG

1. 1Install LangGraph and PGVector on your local machine
2. 2Configure Ollama (Gemma4) to connect to your banking database
3. 3Use natural language to ask questions about your database
4. 4Run the RAG model to generate SQL queries
5. 5Test and refine the queries to improve accuracy

Data analysts and software engineers can benefit from this technology to simplify database querying and improve productivity

💡 Financial NL-to-SQL RAG enables users to query databases using natural language, simplifying the process and improving productivity

Query your banking database in plain English with Financial NL-to-SQL RAG #RAG #NLtoSQL