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Ask what. Get answers.

Reasoning Interface for Text-to-Analytics

Turn natural-language questions into SQL, statistics, and insights — no code required. Ask RITA connects to your database, generates queries, runs real analytics, and visualizes results automatically.

Get Started Configuration

Ask RITA

Four Powerful Workflows

  • SQL Agent

    Natural language to SQL across 7+ database engines with conversational follow-ups, error recovery, and smart visualization.

    SQL Workflow Guide

  • NoSQL Agent

    Natural language to MongoDB aggregation pipelines with full feature parity — PII detection, charts, and Chain-of-Thoughts.

    MongoDB Guide

  • Research Agent

    CRISP-DM data science workflows with scipy-powered hypothesis testing, effect sizes, and actionable insights.

    Research Guide

  • Data Classification

    LLM-powered processing of Excel, CSV, and images with runtime configuration, multi-tenant support, and batch processing.

    Classification Guide

Key Features

  • Security & PII Detection

    SQL safety validation, prompt injection detection, and Microsoft Presidio-powered PII/PHI scanning for HIPAA and GDPR compliance.

    Security Guide

  • Schema Enrichment

    Automatic schema caching, hybrid descriptions, business glossary terms, and cross-project access for BigQuery.

    Schema Enrichment

  • Export to PPTX, PDF, Excel

    One-call export of query results into branded PowerPoint decks, PDF reports, and Excel spreadsheets.

    Export Guide

  • 13 Chart Types

    Automatic visualization recommendations with Google Charts integration. Bar, line, pie, scatter, treemap, Sankey, and more.

    Charts Overview

  • Chain of Thoughts

    Step-by-step reasoning traces, progress callbacks, and full observability into every stage of the analytics pipeline.

    CoT Guide

  • CLI & MCP Server

    askrita CLI for interactive queries, batch testing, and an MCP server for integration with Claude Desktop and other AI tools.

    CLI Reference

Supported Platforms

  • LLM Providers

    OpenAI · Azure OpenAI · Google Vertex AI · AWS Bedrock

    Provider Details

  • Databases

    PostgreSQL · MySQL · SQLite · SQL Server · BigQuery · Snowflake · IBM DB2 · MongoDB

    Connection Strings

Quick Start

pip install askritaSuccessfully installed askrita-0.13.9export OPENAI_API_KEY="your-key"askrita query "What are the top 10 customers by revenue?" --config my-config.yamlQuestion: What are the top 10 customers by revenue?
Answer: The top 10 customers by revenue are: 1. Acme Corp ($42.3M),
2. Globex Inc ($38.7M), 3. Initech ($35.1M), 4. Umbrella Co ($31.9M),
5. Wonka Industries ($28.4M), 6. Stark Enterprises ($25.6M),
7. Wayne Corp ($22.8M), 8. Pied Piper ($19.3M), 9. Hooli ($16.7M),
10. Dunder Mifflin ($14.2M).
Recommended Visualization: bar_chart
Reason: Bar chart is ideal for comparing revenue across customers

Or use the Python API directly:

from askrita import SQLAgentWorkflow, ConfigManager

config = ConfigManager("my-config.yaml")
workflow = SQLAgentWorkflow(config)
result = workflow.query("What are the top 10 customers by revenue?")
print(result["answer"])

Explore the Docs

  • Getting Started

    Installation, configuration, usage examples, and supported platforms.

    Installation

  • Configuration

    YAML config for LLM providers, databases, workflows, PII detection, and security.

    Configuration

  • Guides

    In-depth walkthroughs for every workflow, feature, and integration.

    SQL Workflow

  • Benchmarks

    BIRD Mini-Dev accuracy results across 6 models — Gemini, GPT-5.4, and more.

    Results Overview

  • Charts

    13 chart types with React and Angular integration guides and sample previews.

    Chart Overview

  • Developer

    Contributing guide, branching workflow, and Docker-based compatibility testing.

    Contributing