Unlock Enterprise AI with Relational Intelligence for the Snowflake Cloud

RelationalAI extends question answering based on retrieval-augmented generation (RAG) and text-to-SQL paradigms with a new text-to-reasoner approach and ranks #1 in Spider 2.0 real-world text-to-SQL benchmark.

RelationalAI Snowflake Native App: Architecture White Paper

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.

RelationalAI Native App for Snowflake now Generally Available

RelationalAI announces General Availability on Snowflake, bringing enterprise knowledge graph and compound AI capabilities to the Snowflake Data Cloud. This integration enables organizations to build intelligent applications that enhance decision-making through conceptual modeling and advanced graph analytics - all within Snowflake's secure environment.

RelationalAI Knowledge Graph Coprocessor is Generally Available as a Snowflake Native App

The unreasonable (cost) effectiveness of cloud-native GenAI

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.

CashApp leverages RelationalAI to turn customer base into social communities for more personalized experience

Money is inherently social. By accurately identifying community with social graphs and understanding community behaviors, Cash App can more effectively target and influence the right groups with tailored incentives. This approach not only optimizes spending but also reduces compute costs.