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Query CSV and TSV data with natural language and cell-level citations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TabulaRAG" yet — see the docs or source repo.
Read this CSV, find the top three regions by sales in Q2 2024, and cite the relevant cell locations supporting your conclusion.
A ranked list of the top three regions, sales comparisons, and cell-level citations with row and column references.
Check this TSV for records with negative or missing inventory values, rank them by severity, and include original cell-level citations.
A list of anomalous records, issue types, priority recommendations, and the corresponding cited cell locations.
Across multiple tables in the current workspace, find records most related to customer churn reasons and refund complaints, summarize the main patterns, and keep citations.
A summary of relevant records, analysis of common patterns, and traceable evidence with cell-level citations.
Turn Excel/CSV folders into a traceable, evidence-backed knowledge layer.
Audit local Tableau workbooks with field lineage, SQL, filters, and semantic diff checks.
Query local data files with SQL to give AI grounded answers.
Query Excel and CSV data in natural language for fast analysis.
Query spreadsheets in natural language with auditable, read-only structured analysis.
Query CSV and Excel files with read-only SQL using DuckDB.