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.
Read MoreValue 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.
Read MoreRelationalAI'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.
Read MoreWe are excited to announce the RelationalAI Command-Line Interface, which is used to interact with the Relational Knowledge Graph Management System (RKGMS).
Read MoreRelationalAI 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.
Read MoreWe are excited to announce the latest enhancements to our Relational Knowledge Graph Management System (RKGMS) that substantially improve the performance of certain recursive computations.
Read MoreOur declarative modeling language Rel has been expanded to include new string functionalities to better handle and manipulate string data.
Read MoreNew documentation and public GitHub repo for the RelationalAI SDK for Julia.
Read MoreTo celebrate Pi day, let's have some fun with π in our modeling language Rel.
Read MoreRel now supports the random number generators Mersenne Twister, Threefry, and random device.
Read MoreRel supports regular expression matching with capture groups.
Read MoreIntroducing Rel's semantics for self modification.
Read MoreWe'll automatically close unused DBs so you don't have to.
Read MoreAccount administrators can now create OAuth Client credentials for SDK access.
Read MoreUse Graphviz to visualize directed and undirected graphs in RAI notebooks.
Read MoreNew documentation and public GitHub repo for the RelationalAI SDK for Python.
Read MoreRel libraries updated to include Histogram and Algebra Libraries.
Read MoreFind your way around our documentation and learn about knowledge graphs.
Read MoreRel now has convenience relations that make building interactive charts easier.
Read MoreThe help function renders markdown docstrings as richly formatted HTML.
Read MoreWe are pleased to announce new functionality for admin users of the RAI Console.
Read MoreNow supporting a spread functionality with two strategies: even spread and ratio spread.
Read MoreRAI documentation gets Notebook functionality.
Read MoreThe Rel stdlib has been updated to include the Any function.
Read MoreIntroducing datetime_now to the Rel stdlib.
Read MoreIntroducing new functions in the Rel stdlib.
Read MoreIntroducing support for uploading data not stored in the cloud.
Read MoreThe 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 MoreIntroducing support for Vega and Vega-Lite.
Read MoreSay hello to a completely new way to interact to interact with the RKGMS.
Read MoreWith 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.
Read MoreLet’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 MoreIntroducing new data loading functionalities.
Read MoreAt 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.
Read MorePeople navigate and reason through life with relationships. Knowledge Graphs put facts and relationships in context to enable understanding and analysis.
Read MoreWe 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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