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Use of Graph RAG and Vector Search for Enhanced User Prompt to LLMs

About This Workshop

Youtube Video

About This Workshop
This workshop focuses on working with Property Graphs in SQL, integrating graph queries with vector search and LLMs for applications that use Graph-RAG. Retrieval-augmented generation (RAG) enables enterprises to use their business data with large language models (LLMs) and thus use generative AI features in their business applications. With Graph-RAG the result of graph queries can be added to RAG. Graph data models are increasingly popular across different industry verticals, as they easily capture relationships in data and make it easy to navigate complex relationships.

Workshop Info

2 hours

    •    Examples of how to combine Graph Studio and Generative AI services using SQL
    •    Run a vector search in SQL 
    •    Create a property graph from relational tables using SQL 
    •    Run graph queries using SQL, with the new syntax from the SQL:2023 standard implemented in Oracle Database 23ai
    •    Run graph queries combined with vector search
 

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

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