Value Types in Rel
Value types help distinguish between different types of values, even though the underlying representation may be identical. Value types can be used to define other value types.
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.
How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications: Research by Gartner®
The Gartner report, How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications, published in September 2022, states that “knowledge graphs deliver semantically enabled data management to power a diverse range of AI applications.”
RelationalAI Year in Review, 2022
As the year draws to a close, we’re taking a look back over 2022 to gather all our best content from the year into one place. It was a great year for us - we came out of stealth, grew our team, participated in fantastic conferences and events, and we’re excited for everything 2023 will bring. Thank you for reading our blog this year and keeping up with our news. We wish you a very happy new year from all of us at RelationalAI.
Building a Named Entity Recognition Model for the Legal Domain
We defined NER in the legal domain and presented our approach towards generating ground truth data. In what follows, we go over the state-of-the-art in the NER domain and elaborate on the experiments we ran and the lessons we learned.
Named Entity Recognition in the Legal Domain
Named entity recognition is a difficult challenge to solve, particularly in the legal domain. Extracting ground truth labels from long, hierarchical documents is often slow and prone to error. RelationalAI proposes a new scalable algorithm based on the principles of data-centric AI, designed to meet this challenge and generate high-quality annotations with minimal supervision.