Introducing RelationalAI
summary
RelationalAI positions itself as an AI coprocessor that embeds inside Snowflake as materialized views, avoiding data copies and preserving governance, and claims cloud-native scalability while supporting relational knowledge graphs. Examples: one customer migrating from 17,500 databases with ~400 million columns, another with 180 million columns. The system stores graphs as two-column relations, represents vectors and matrices as relations, and exposes algebraic operations (SQL matrix multiply) so rules, optimization, simulation and ML run declaratively over the Data Cloud.
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chapters (5)
- 0:00Introduction
- 2:29Defining AI composite techniques
- 4:49AI coprocessor concept
- 8:46Relational knowledge graphs
- 13:21Summary
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