Autonomous Database Learning Lounge series presents -  Graph RAG: Bring the power of Graphs to Generative AI

Main Topic

• Generative AI depends on LLMs that are trained on available data, which can be overly general or outdated resulting in errors and answers that are not relevant.
• Retrieval augmented generation (RAG) addresses these issues by enabling LLMs to be combined with private business data or other domain specific data. Graph RAG can enhance RAG by including information derived from relationships in data. 
• A graph enables data to be viewed as connected entities, giving additional insights into data, and enabling richer context to be provided to an LLM.
• Join us to learn more about graphs, graph RAG and the power of combining graphs with generative AI.  We will demonstrate how easy graph RAG is with graph and vector technologies in Autonomous Database.

Open Q&A

• Autonomous Database product managers will answer any technical questions about the Autonomous Database service, its features, integration capabilities and use cases.

• Familiarity with Autonomous Database is desirable, but not required
• Some understanding of cloud and database terms is helpful
• Familiarity with Oracle Cloud Infrastructure (OCI) is helpful

Educate yourself about Oracle Autonomous Database, its use cases and immersive self-service platform.