
A language model answers questions about your data only as well as it understands your data. In this workshop we make an Oracle Database AI-ready step by step: from a well-described data model through vectors and semantic search to a working chat application that backs its answers with your own documents.
Developers, architects and DBAs who want to implement AI features on Oracle 23ai/26ai or Autonomous Database.
The modules are building blocks. You choose and weight them, and we agree on the agenda together beforehand.
A working example of data model, embedding pipeline and RAG chat that your team can transfer to its own data.
For a first look: the talks on this topic give you an overview, and the talk pages include the slides.
Tell me which topics matter to you. We will then agree on modules, scope and dates together.
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