Product Updates
Varargs in Rel
We are excited to announce the support of varargs in Rel. You can use varargs to write more general code that works for multiple arities. Varargs can be useful when writing generic relations for common utilities.
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Value Types in Rel
Value types help distinguish between different kinds of values, even though the underlying representation may be identical. Value types can be used to define other value types.
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Asynchronous Transactions: Start Now, Check Later
RelationalAI's full suite of SDKs provides access to API endpoints which allow you to track long-running transactions in our Relational Knowledge Graph Management System (RKGMS). This is more reliable for long-running transactions, allows transactions to be canceled, and keeps a log of transactions that you can inspect either while they're running or at a later time.
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RelationalAI CLI and Public GitHub Repo
We are excited to announce the RelationalAI Command-Line Interface, which is used to interact with the Relational Knowledge Graph Management System (RKGMS).
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Boolean and Missing: What Are They Good For?
RelationalAI is built on knowledge graphs, which rarely use null and boolean values. And yet, Rel, RelationAI’s declarative modeling language, has a Missing data type to represent null values, and a Bool type to represent true and false boolean values. Let's explore the role null and boolean values play in a dataset and learn when to use Missing and Bool types in Rel.
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Recursive Computations in Rel
We are excited to announce the latest enhancements to our Relational Knowledge Graph Management System (RKGMS) that substantially improve the performance of certain recursive computations.
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Raw Strings and String Interpolation
Our declarative modeling language Rel has been expanded to include new string functionalities to better handle and manipulate string data.
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RelationalAI Julia SDK and Public GitHub Repo
New documentation and public GitHub repo for the RelationalAI SDK for Julia.
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Pi Day 2022 at RelationalAI
To celebrate Pi day, let's have some fun with π in our modeling language Rel.
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Random Number Generators in Rel
Rel now supports the random number generators Mersenne Twister, Threefry, and random device.
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Regular Expression Matching and Capture Groups in Rel
Rel supports regular expression matching with capture groups.
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Rel: Live Programming and Self-Modifying Models
Introducing Rel's semantics for self modification.
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Automatically Close Unused Databases
We'll automatically close unused DBs so you don't have to.
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OAuth Client Self Service
Account administrators can now create OAuth Client credentials for SDK access.
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Visualize Graphs in Notebooks
Use Graphviz to visualize directed and undirected graphs in RAI notebooks.
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RelationalAI Python SDK and Public GitHub Repo
New documentation and public GitHub repo for the RelationalAI SDK for Python.
Read MoreNew Histogram and Algebra Rel Libraries
Rel libraries updated to include Histogram and Algebra Libraries.
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New Documentation Walkthrough and Knowledge Graph Tutorial
Find your way around our documentation and learn about knowledge graphs.
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Build Vega-Lite Charts with Rel
Rel now has convenience relations that make building interactive charts easier.
Read MoreUsing the Help Function in the Notebooks and Query Browser
The help function renders markdown docstrings as richly formatted HTML.
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Admins Can Now Manage Users and OAuth Clients
We are pleased to announce new functionality for admin users of the RAI Console.
Read MoreSpread Functionality Added to the Rel Standard Library
Now supporting a spread functionality with two strategies: even spread and ratio spread.
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Rel Tutorials and Guides Now Available as Notebooks
RAI documentation gets Notebook functionality.
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Any Function Added to the Rel Standard Library
The Rel stdlib has been updated to include the Any function.
Read MoreNew DateTime Functionality in the Rel Standard Library
Introducing datetime_now to the Rel stdlib.
Read MoreNew String Functions Added to the Standard Library
Introducing new functions in the Rel stdlib.
Read MoreThe Notebook Now Supports Local Data Imports
Introducing support for uploading data not stored in the cloud.
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RAI Platform Pillars
The first and only Relational Knowledge Graph Management System that has the modern table stakes of a cloud-native architecture, embraces the proven and trusted relational paradigm, and has an expressive and complete declarative relational language.
Read MoreRepresenting Data Graphically with Vega and Vega-Lite
Introducing support for Vega and Vega-Lite.
Read MoreUX Notebook is Live!
Say hello to a completely new way to interact to interact with the RKGMS.
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Introduction
With a Relational Knowledge Graph Management System as the foundation, diverse data application workloads can either be learned or declared, all grounded on the same data.
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Relational Paradigm
Let’s revisit the history and trends. It’s been said often that data is growing in velocity, variety, and veracity; starting with structured, adding semi structured, and most recently complex (unstructured for SQL). This data growth is part of the back story.
Read MoreSeveral Enhancements Around Loading CSV and JSON Data
Introducing new data loading functionalities.
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RelationalAI Overview
At Relational AI, we have built the first Relational Knowledge Graph Management System (RKGMS). We believe relational knowledge graphs are the foundation for data-centric applications - these are systems that learn, reason, and predict over richly interconnected data.
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Relational Knowledge Graphs
People navigate and reason through life with relationships. Knowledge Graphs put facts and relationships in context to enable understanding and analysis.
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Reactive Notebooks
We are excited to demo the reactive notebook environment we built for working with knowledge graphs here with you! We'll talk about the ways our notebook is inspired by Pluto, and the exciting ways it differs. To celebrate Pluto's 1 year anniversary, we are hosting PlutoCon….
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