Join Josip Mrden, Head of Solutions at Memgraph, to explore how unstructured text can be turned into a searchable knowledge graph with vector search in Memgraph.

You'll see how to build a simple Q&A interface using embeddings and graph queries, and how to automatically generate quiz questions from stored content. This approach is especially useful for educational tools, interactive study apps, and knowledge-driven learning platforms.

The session includes a hands-on demo and a look at how graph databases and LLMs can work together for smarter information retrieval.

Vector Search in Memgraph: Turn Unstructured Text into Queryable Knowledge