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  • 🖥️What is Rasgo?
  • 🚀Setting Up Rasgo
    • Connect Rasgo to your Data
  • 🛠️Using Rasgo
    • Modeling your Data
    • Prompt Guide
    • AI Notes
    • AI-Generated Documentation
    • AI Readiness Score
    • Reports
    • Additional Features
    • Admin Settings
  • 🎉What's New
  • Integrations
    • ❄️Snowflake
    • 🔍BigQuery
    • 🔴Redshift
    • 🧱DeltaLake (via Databricks)
    • 💬OpenAI
    • 🅰️Anthropic
    • ✨Gemini
    • ☁️dbt Cloud
  • 🔐API
    • Table Metadata
    • Column Metadata
  • Reference
    • Status Page
    • Frequently Asked Questions
      • Rasgo Architecture
      • Contacting Rasgo Support
      • What does Rasgo do with my data?
  • Rasgo Graveyard
    • PyRasgo 0.3
      • Source Methods
        • publish.source_data()
        • read.source_data()
        • get.data_sources()
        • get.data_source()
      • Feature Methods
        • feature.get_stats()
        • publish.features_from_source_code()
        • publish.feature_from_source()
        • publish.features()
        • read.feature_data()
        • get.feature_attributes()
        • get.features()
        • get.feature()
      • Collection Methods
        • collection.add_attributes()
        • collection.preview()
        • collection.get_compatible_features()
        • read.collection_snapshot_data()
        • read.collection_data()
        • get.collection_attributes()
        • get.collections()
        • get.collection()
      • Features yml file
      • version 0.3
    • Transforms Overview
      • Build your Own Transform
        • Argument Types
        • Make your own Transform
        • SQL Best Practices
        • Utilities
          • cleanse_name()
    • All Transforms
      • Aggregate String
      • Aggregate
      • Apply
      • Bin
      • Cast
      • Clean
      • Conditional Agg
      • Correlation
      • Cumulative Agg
      • Datarobot Score
      • Dateadd
      • Datediff
      • Datepart
      • Datespine Groups
      • Datespine
      • Datetrunc
      • Describe
      • Drop Columns
      • Dropna
      • Encode Values
      • Entropy
      • Extract Sequences
      • Filter
      • Funnel
      • Heatmap
      • Histogram
      • If Then
      • Join
      • Joins
      • Label Encode
      • Lag
      • Latest
      • Lead
      • Linear Regression
      • Market Basket
      • Math
      • Metric Plot
      • Metric
      • Min Max Scaler
      • Moving Avg
      • New Columns
      • One Hot Encode
      • Order
      • Pivot Table
      • Plot
      • Prefix
      • Profile Column
      • Query
      • Rank
      • Ratio With Shrinkage
      • Remove Duplicates
      • Remove Outliers
      • Rename
      • Replace Missing
      • Replace String
      • Reshape
      • Rolling Agg
      • Rsi
      • Sample Class
      • Sample
      • Sankey
      • Scale Columns
      • Select
      • Sliding Slope
      • Standard Scaler
      • Suffix
      • Summarize Flatlines
      • Summarize Islands
      • Summarize
      • Target Encode
      • Text To Sql
      • Timeseries Agg
      • To Date
      • Train Test Split
      • Union
      • Unions
      • Unpivot
      • Uppercase Columns
      • Vlookup
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  • Why Rasgo?
  • Get Started
  • Data Warehouse Support

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What is Rasgo?

NextSetting Up Rasgo

Last updated 1 year ago

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is an AI-powered Copilot for your Data Warehouse.

Why Rasgo?

  1. Natural Language Interface - ask your question in natural language, and Rasgo's AI Agent will use its available functions to intelligently query and analyze your data

  2. Your Data Stays in your Data Warehouse - Rasgo handles translating the metadata from your data warehouse into a format that Large Language Models can understand

  3. Create Specialized AI Agents - Using the Rasgo platform, you can create specific AI Agents that are trained on a certain business domain with special instructions to help you accomplish tasks

Get Started

We have a wait list for design partners at this time, but we'd love to work with you! Please contact jared@rasgoml.com and we will be in touch about setting up a POC.

Data Warehouse Support

Currently Rasgo only works with Snowflake and BigQuery, but we are planning support for other data warehouses soon:

Data Warehouse
Supported?

Snowflake

Yes

BigQuery

Yes

Delta Lake

Roadmap

Redshift

Roadmap

For regular databases, you can use our other product, Chat Ur Data.

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