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's Snowflake Native App with Snowpark Container Services on Azure is Generally Available
We're excited to announce that the RelationalAI Snowflake Native App is now available for Snowpark Container Services on Azure. With RAI's powerful knowledge graph coprocessor, you can build and deploy intelligent applications wherever you run Snowpark Container Services.
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.