Description:
If you are a CTO, Chief of AI, VP of Product/Data or AI, Staff+ AI Engineers, Data Scientist or anyone tasked with getting real results from your SQL sources by building RAG beyond vector search, this is for you.
Most enterprise context lives in SQL but GraphRAG needs structure. In this live technical session, we’ll (re)introduce the Memgraph AI Toolkit, unpack the core challenges of turning relational data into production-ready knowledge graphs (entity modeling, FK → edge induction, denormalization, provenance, performance), and then build it live with SQL2Graph.
We’ll look under the hood and see how HyGM (Hypothetical Graph Model) proposes, explains, and iteratively refines a graph design from your schema so that you can validate assumptions before migrating to Memgraph. We’ll run through Automatic and Incremental modes, validate the model, then query the result for GraphRAG.
What you’ll learn
Why GraphRAG needs graph structure (not just embeddings) to deliver multi-hop, explainable answers
How HyGM:
Hypothesizes an initial graph from SQL schemas
Explains design choices in human terms
Accepts feedback and Refines the model
Validates before migration to reduce rework
How SQL2Graph works - handling PK/FK patterns junction and wide tables as well as denormalisation trade-offs
About Memgraph:
Memgraph offers a light and powerful graph platform comprising the Memgraph Graph Database, MAGE Library, and Memgraph Lab Visualization. Memgraph is a dynamic, lightweight graph database optimized for analyzing data, relationships, and dependencies quickly and efficiently.
It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice in critical decision-making scenarios such as risk assessment (fraud detection, cybersecurity threat analysis, & criminal risk assessment), 360-degree data and network exploration [Identity and Access Management (IAM), Master Data Management (MDM), & Bill of Materials (BOM)], and logistics and network optimization.
Website: https://www.memgraph.com
Twitter: https://www.twitter.com/memgraphdb
LinkedIn: https://www.linkedin.com/company/memgraph
Facebook: https://www.facebook.com/memgraph
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