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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.
Query spreadsheets in natural language with auditable, read-only structured analysis.
Turn tabular data into shareable, embeddable interactive chart dashboards instantly.
Import spreadsheets, run queries, and get instant data insights with AI.
Let AI work with Quadratic spreadsheets, run Python/SQL, and query databases.
Query, analyze, and compare Google BigQuery data using natural language.
Connect LLMs to multiple databases through a unified, normalized query layer.