Getting Started

RelationalAI’s (RAI) Relational Knowledge Graph System (RKGS) extends your data cloud with graph analytics, reasoning, and optimization workloads.

The easiest way to get started with RelationalAI is with the RAI Integration Services for Snowflake, which exposes a subset of the features of the RKGS to Snowflake users. Using high-level SQL functions and procedures, you can perform graph analytics and other workloads on Snowlake data.

Users who need access to all of RelationalAI’s capabilities may want to get started with the RKGS directly.

Get Started Using Snowflake

Start using RelationalAI from Snowflake with one of these quick start guides:

Quick Start: User: Get up and running with the RAI SQL Library for Snowflake.
Quick Start: Admin: Set up the RAI Integration Services in your Snowflake account.

Get Started With the RKGS

Understand the benefits of the RKGS and get up and running fast using the RAI Console:

Why the RKGS?: Learn the benefits of RelationalAI's Relational Knowledge Graph System.
Quick Start: Launch your first database and dive into your data in just a few clicks.

Browse the following walkthroughs to explore everything that RAI has to offer:

Data Input/Output: Discover how to import and export data into the RKGS.
Graphs: Understand how to work with graph data in the RKGS.
SDKs: Connect to RAI to build smarter apps.
The Rel Language: Learn how to work with relations using RAIs declarative modeling language Rel.
Modeling and Schema: Learn various techniques for relational modeling.
Reasoning and Logic: Use Rel to express workloads declaratively.

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