Databases and AI with Neo4J as an example with Michael Simons

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When integrating AI into your application, you will most likely want to use a concept called RAG. This acronym stands for Retrieval Augmented Generation and is an absolute game changer.

The idea is simple: By providing your own input data to your LLM, you can improve the quality of its response and let it include your own information.

This is just one of the topics Michael Simons and I will discuss in this month’s Expert Session “Databases and AI with Neo4J as an example”.

Here’s a short video in which Michael summarizes his session and shows an exciting AI feature in Neo4J’s JDBC driver.

This session will exclusively be available to Persistence Hub members starting June 19th. Join here to get access to the entire session, many other Expert Sessions, courses about JPA, Hibernate, and Spring Data JPA and much more.

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