HemaKumar0077/TableRAG
TableRAG is an advanced question-answering framework that combines structured tabular data (CSV files) and unstructured text documents (PDF, DOCX, TXT, MD) using Retrieval-Augmented Generation (RAG). Ask natural language questions and get intelligent answers that leverage both your data tables and text content.
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Language
Python
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Last pushed
Oct 09, 2025
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