# oracle-devrel/oracle-ai-developer-hub

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

Repository: https://github.com/oracle-devrel/oracle-ai-developer-hub
Canonical: https://ross.abutalabs.com/products/oracle-ai-developer-hub
Homepage: https://oracle-devrel.github.io/oracle-ai-developer-hub/
Language: Jupyter Notebook
License Family: other
Topics: artificial-intelligence, generative-ai, kubernetes, kustomize, oraclejet, rag, oracleaidatabase, agentmemory, agents, ai, ai-developer, oracle-database
Last push: 2026-08-23T18:57:44+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 68
- inputs: {"age_days": 960, "days_push": 10, "days_rel": 652, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4350, forks 815 (observed 2026-08-28T04:08:46.287016+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: rag, agent-framework, llm-inference, vector-database, developer-tools, documentation
- domain: artificial-intelligence, large-language-models, databases, developer-tools, tutorials
- platform: python, cloud, cross-platform
- tags: 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

## Member repositories
- oracle-devrel/oracle-ai-developer-hub (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:46.287016+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:21:32.766642+00:00, confidence not recorded.
  - readme: https://github.com/oracle-devrel/oracle-ai-developer-hub (fetched 2026-08-28T04:08:46.287016+00:00, sha df322676ff74)
  - homepage: https://oracle-devrel.github.io/oracle-ai-developer-hub/ (fetched 2026-08-29T09:10:26.947559+00:00, sha 4d23e6a20054)
- Data as of 2026-08-30T08:39:29.467469+00:00.