Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables

A novel hybrid retrieval system integrates SQL-based structured data querying with vector similarity search for long-text documents, eliminating the need for schema modifications or data migration. This approach maintains high performance and efficiency, enabling cost-effective retrieval in large-scale applications without compromising existing database infrastructure or incurring significant performance trade-offs.