oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Seamlessly integrate AWS Azure and Google Cloud with Oracle AI Database using standard protocols Run identical Python code across clouds just update connection details and auth
16 Cognitive Architectures Demonstrated in the Agent Reasoning DemoExplore 16 cognitive architectures in the Agent Reasoning Demo. Oracle AI Developer Hub transforms LLMs into specialized agents using techniques like Chain-of-Thought and MCTS.
How to Implement Supply Chain Tracking with In-Process Tools and MCP Server IntegrationLearn to implement supply chain tracking by decorating Python functions with @tool, exposing them via an MCP server, and integrating Oracle AI Agent Memory for persistent shipment state.
Best Practices for Deploying Oracle AI Applications on KubernetesDeploy Oracle AI applications on Kubernetes using Terraform, Kustomize, OCI Vault and CI CD for production-grade security, scalability and observability.
How to Implement Deep Research Agents with Tavily Web Search and Oracle Memory PersistenceImplement deep research agents using Tavily web search and Oracle memory persistence. Get fresh data when needed and automatically save findings for reuse.
Oracle AI Database Embedding Models: ONNX Sentence-Transformer SupportExplore Oracle AI Database's support for ONNX sentence-transformer models. Generate 384-dimensional embeddings in-database with ALL_MINILM_L12_V2 and enhance your AI applications.
How Property Graphs Work with Vector Search in Oracle 26ai for Connected DataDiscover how Oracle 26ai unifies property graphs and vector search. Analyze connected data with single SQL statements usingVECTOR_DISTANCE() and GRAPH_TABLE syntax for semantic similarity.
How to Implement Mortgage Approval Workflows with LangGraph and Persistent State in OracleImplement mortgage approval workflows with LangGraph and persistent state in Oracle. Ensure deterministic routing and audit trails for identity, credit, and income checks that survive crashes.
Hybrid Vector + Keyword Search Performance in Oracle 26ai: Optimization StrategiesExplore hybrid vector + keyword search performance in Oracle 26ai. Discover optimization strategies using Oracle Text and HNSW indexes to minimize latency and maximize recall.
How to Use MCP (Model Context Protocol) with Oracle AI Agent MemoryLearn how to use MCP Model Context Protocol with Oracle AI Agent Memory to let LLMs invoke Python functions and manage persistent cross-session context. Enhance your AI agents today!
How to Build Agentic RAG with Chain of Thought Reasoning Using Oracle AI DatabaseBuild an agentic RAG system and enhance it with Chain of Thought reasoning using Oracle AI Database as your unified vector store. Leverage OraDBVectorStore and RAGReasoningEnsemble.
What Is Select AI in Oracle 26ai? Natural Language Database Queries ExplainedExplore Select AI in Oracle 26ai, a powerful LLM that transforms English questions into SQL for natural language database queries, keeping data processing local.
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