{"id":17168,"name":"Table-Aware RAG","purpose":"A specialized Retrieval Augmented Generation (RAG) engine optimized for documents containing tables, providing accurate and contextually relevant responses to complex queries involving tabular data.","profitable":1,"date_generated":"Tuesday July 2026 05:46","reference":"project-rag-tables","technology_advise":["Python","PostgreSQL","Difficult"],"development_time_estimation_mvp_in_hours":240,"grade":8.2,"category":"ai","view_count":22,"similar_ideas":[],"source_headline":"Current RAG models struggle with table-heavy documents."}