Welcome to the AI Solutions repository, a collection of deployable apps, workshops and tools built with Oracle technologies, some of them featured in oracle.ai. This repository contains practical implementations, demos, and guides for various AI use cases.
apps/: Deployable applications, automation scripts, and infrastructure-as-code projects.workshops/: Step-by-step guides, LiveLabs content, and educational materials.notebooks/: Reserved for notebook-driven explorations and tutorials (currently minimal).
Building AI Agents with Model Context Protocol (MCP) and Oracle Database 26ai
- MCP Integration: Secure tool calling between LLMs and Oracle Database
- Real-time Data Access: Live business data integration without ETL
- Vector RAG: Native vector search capabilities
- Langflow Integration: Visual workflow builder for AI agents
- Use Cases: Financial advisor, customer service, business intelligence
Talk with Industry-Specific Domain Data and Gain Insights Using Select AI
- Natural Language Queries: Ask questions in plain English
- Domain-Specific Knowledge: Industry-tailored insights and analysis
- No SQL Required: Democratized data access for business users
- Multi-Industry Support: Finance, healthcare, retail, manufacturing
- Use Cases: Business intelligence, compliance, operational analytics
- Agentic RAG - AI RAG in a BOX Demo using Oracle AI Database 26ai and Local LLMs
- PlaneLLM - PlaneLLM integration with Oracle Database
- Neural Networks Hero - Neural network implementations and tutorials
- OCI Vision AI - Computer vision solutions using Oracle Cloud Infrastructure
- Mask Detection - Training and labeling for mask detection models
- OCI Language Translation - Multi-language translation services
- OCI Subtitle Translation - Automated subtitle translation
- OCI CSV-JSON Translation - Data format conversion tools
- NVIDIA NIM on OKE - NVIDIA Inference Microservices on Oracle Container Engine
- Holoscan - Holoscan applications and deployments
- Kubeflow on OKE - Machine learning workflows on Kubernetes
- Data in AI Revolution - Data-driven AI solutions and insights
- RAG in a Box - Retrieval-Augmented Generation solutions
- agentic_rag - Multi-agent RAG system with Chain-of-Thought reasoning using Oracle Database 26ai and local LLMs
- holoscan - Terraform stack for deploying NVIDIA Holoscan on Oracle Linux A10 GPU instances
- langflow-agentic-ai-oracle-mcp-vector-nl2sql - Agentic AI workflows with Langflow, Oracle Database MCP, Vector RAG, and NL2SQL
- langgraph_agent_with_genai - File indexing and conversational search using LangGraph and Oracle Generative AI
- mongo-migration - Migration tools and solutions for moving MongoDB applications to Oracle Database
- nvidia-nim-oke - Deploying NVIDIA Inference Microservices on Oracle Kubernetes Engine with GPU support
- oci-csv-json-translation - Translate specific columns in CSV files or keys in JSON documents using OCI Language
- oci-language-multiple-translation - Bulk translation of multiple documents from OCI Object Storage buckets
- oci-language-translation - Multi-language translation services for documents and text using OCI Language
- oci-subtitle-translation - Transcribe audio files and translate subtitles using OCI Speech and Language services
- OJET (VDOM) - OCI Vision - Oracle JET Virtual DOM application with OCI Vision integration for image analysis
- oracle-mcp-ai-agents - Building AI agents with Model Context Protocol (MCP) and Oracle Database 26ai
- oracle-rag-applications - Building RAG applications with Oracle Database 26ai for document processing and semantic search
- oracle-select-ai-insights - Natural language queries for industry-specific domain data using Oracle Select AI
- planeLLM - Generate bite-sized educational podcasts on any topic using OCI GenAI service
- rag_in_a_box - Containerized RAG system with Oracle Database 23ai and local LLMs deployable via Podman
- ai-meetings - Build web applications using Visual Builder Cloud Service with AI-powered meeting transcription, summarization, and sentiment analysis
- data-in-ai-revolution - Educational workshop on data types, structures, and processing techniques in AI and machine learning
- mask_detection_labeling - Step-by-step guide for creating and labeling a computer vision model to detect mask-wearing states using RoboFlow
- mask_detection_training - Training and improving YOLO-based object detection models for mask detection on Oracle Cloud Infrastructure
- neural_networks_hero - Comprehensive workshop on neural network implementations, training, and inference for computer vision tasks
- Currently empty - Reserved for notebook-driven explorations and tutorials
Each solution includes:
- Comprehensive README with architecture overview
- Quick start guides and prerequisites
- Configuration examples and deployment options
- Use cases and best practices
- Troubleshooting guides
We welcome contributions! Please see individual solution directories for contribution guidelines.
Copyright (c) 2024 Oracle and/or its affiliates.
Licensed under the Universal Permissive License (UPL), Version 1.0.
See LICENSE for more details.
Built with ❤️ by the Oracle DevRel team