Ross ROSS = Recommend OSS · open-source software intelligence for agents

oracle-devrel/oracle-ai-developer-hub resource

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services observed · 2026-08-28

github.com/oracle-devrel/oracle-ai-developer-hub · homepage · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

61/100

  • Activity 99
  • Release rhythm 8
  • Longevity 68

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 960
  • days_rel: 652
  • days_push: 10
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

4350 stars · 815 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of technical resources, reference applications, and tutorials for building AI applications, agents, and systems on Oracle AI Database and OCI services. It includes complete working examples such as agentic RAG systems, finance AI agents, and demand-planning assistants with deployment configurations and documentation.

Use cases

  • build a RAG application with Oracle AI Database
  • learn how to build AI agents on OCI
  • find reference implementations for generative AI apps
  • migrate a RAG corpus from MongoDB to Oracle
  • build a multi-agent system with LangGraph and Oracle
  • deploy an AI application with Kubernetes and Terraform on OCI
  • use Oracle 26ai Select AI for natural language database queries
  • implement vector search and agent memory with Oracle AI Database

When to choose

  • you are building AI applications or agents on Oracle AI Database or OCI
  • you want complete, production-grade reference implementations with source code and deployment configs
  • you need examples of RAG, multi-agent systems, or vector search integrated with Oracle
  • you are an AI developer or engineer evaluating the Oracle AI/Agent stack

When to avoid

  • you need a production-ready library or SDK to install as a dependency
  • you are not using Oracle technologies or OCI services
  • you want a single deployable application rather than a collection of examples and tutorials
  • you require a formally licensed product for commercial redistribution

Facets

learning-resource · maturity active

rag agent-framework llm-inference vector-database developer-tools documentation artificial-intelligence large-language-models databases developer-tools tutorials python cloud cross-platform oracle-ai-database oci oracle-cloud reference-implementations sample-apps generative-ai oracle-jet fastapi langgraph select-ai vector-search multi-agent terraform jupyter-notebooks ai-agents retrieval-augmented-generation docker kubernetes

2 sources

Member repositories

RepositoryRoleHealth v2
oracle-devrel/oracle-ai-developer-hubmain61

For agents

markdown · JSON · MCP: product_card(name="oracle-devrel/oracle-ai-developer-hub")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem