oracle-ai-developer-hub

Why we included this project

Oracle's developer relations team curates this hub as a practical set of resources for building AI applications on their database and OCI cloud stack, and it earns its place here because the examples are complete enough to follow rather than admire. The repo organizes full app implementations, Jupyter notebooks, and packaged build paths, so a developer can move from an idea to a running agent or RAG pipeline without rebuilding everything from scratch. The reference implementations go deeper than typical demos: agentic RAG with multi-agent chain of thought, supervisor-orchestrated assistants, and document-processing pipelines show how vector search, graph, and relational features work together in a single database. Teams weighing Oracle for AI workloads, or developers hunting for realistic end-to-end patterns instead of toy snippets, will find the walkthroughs genuinely instructive. Treat it as a learning resource and a shelf of architectural blueprints rather than one installable product.