RelationalAI Snowflake Native App: Architecture White Paper
Friday, December 13, 2024
RelationalAI is on a mission to power every decision with intelligence. As the industry’s first knowledge graph coprocessor for Snowflake’s AI Data cloud, RelationalAI enables organizations to apply rule-based reasoning, advanced graph analytics, predictive analytics, and prescriptive analytics to their data, where it already lives, simplifying computing and powering better decisions. Learn more at Relational.ai.
The unreasonable (cost) effectiveness of cloud-native GenAI
Tuesday, October 15, 2024
Cloud-native Generative AI presents a simple and affordable solution to the operational challenges that often accompany deceptively 'easy' data tasks like entity linking. This post explores how combining RelationalAI's declarative language with Snowflake's secure environment allows enterprises to seamlessly scale AI services on-demand.
Building a Named Entity Recognition Model for the Legal Domain
Friday, December 16, 2022
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
Monday, December 12, 2022
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.
Machine Learning through Database Glasses, NeurIPS 2021
Wednesday, February 2, 2022
This talk explores several techniques to improve the runtime performance of machine learning by taking advantage of the underlying structure of relational data. While most data scientists use relational data in their work, the data science tooling that works with relational data is quite lacking today. Let’s explore these new techniques and see how we can drastically improve machine learning through a database-oriented lens.
AI workloads inside databases, NeurIPS 2021
Tuesday, February 1, 2022
This incredible panel of experts gathered to discuss the current state of AI and machine learning workloads inside databases. The panel discussed new techniques, technologies, and recent papers that progress our understanding of what is possible. Q&A among the panel and from the audience concludes this deep and wide ranging conversation.