# oracle-ai-developer-hub | Oracle Developers | Knowledge Base | Instagit

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

GitHub Stars: 944

Repository: https://github.com/oracle-devrel/oracle-ai-developer-hub

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## Articles

### [How to Integrate Multicloud Providers (AWS, Azure, Google) with Oracle AI Database: A Complete Guide](/oracle-devrel/oracle-ai-developer-hub/how-to-integrate-multicloud-providers-aws-azure-google-with-oracle-ai-database)

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

- Tags: how-to-guide
- Published: 2026-05-10

### [16 Cognitive Architectures Demonstrated in the Agent Reasoning Demo](/oracle-devrel/oracle-ai-developer-hub/what-are-the-11-cognitive-architectures-demonstrated-in-the-agent-reasoning-demo)

Explore 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.

- Tags: deep-dive
- Published: 2026-05-10

### [How to Implement Supply Chain Tracking with In-Process Tools and MCP Server Integration](/oracle-devrel/oracle-ai-developer-hub/how-to-implement-supply-chain-tracking-with-in-process-tools-and-mcp-server-integration)

Learn 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.

- Tags: how-to-guide
- Published: 2026-05-10

### [Best Practices for Deploying Oracle AI Applications on Kubernetes](/oracle-devrel/oracle-ai-developer-hub/what-are-the-best-practices-for-deploying-oracle-ai-applications-on-kubernetes)

Deploy Oracle AI applications on Kubernetes using Terraform, Kustomize, OCI Vault and CI CD for production-grade security, scalability and observability.

- Tags: best-practices
- Published: 2026-05-10

### [How to Implement Deep Research Agents with Tavily Web Search and Oracle Memory Persistence](/oracle-devrel/oracle-ai-developer-hub/how-to-implement-deep-research-agents-with-tavily-web-search-and-oracle-memory-persistence)

Implement deep research agents using Tavily web search and Oracle memory persistence. Get fresh data when needed and automatically save findings for reuse.

- Tags: how-to-guide
- Published: 2026-05-10

### [Oracle AI Database Embedding Models: ONNX Sentence-Transformer Support](/oracle-devrel/oracle-ai-developer-hub/what-embedding-models-are-supported-in-oracle-ai-database-onnx-sentence-transformers)

Explore 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.

- Tags: deep-dive
- Published: 2026-05-10

### [How Property Graphs Work with Vector Search in Oracle 26ai for Connected Data](/oracle-devrel/oracle-ai-developer-hub/how-does-property-graph-work-with-vector-search-in-oracle-26ai-for-connected-data)

Discover 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.

- Tags: deep-dive
- Published: 2026-05-10

### [How to Implement Mortgage Approval Workflows with LangGraph and Persistent State in Oracle](/oracle-devrel/oracle-ai-developer-hub/how-to-implement-mortgage-approval-workflows-with-langgraph-and-persistent-state-in-oracle)

Implement 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.

- Tags: how-to-guide
- Published: 2026-05-10

### [Hybrid Vector + Keyword Search Performance in Oracle 26ai: Optimization Strategies](/oracle-devrel/oracle-ai-developer-hub/what-are-the-performance-implications-of-hybrid-vector-keyword-search-in-oracle-26ai)

Explore hybrid vector + keyword search performance in Oracle 26ai. Discover optimization strategies using Oracle Text and HNSW indexes to minimize latency and maximize recall.

- Tags: performance
- Published: 2026-05-10

### [How to Use MCP (Model Context Protocol) with Oracle AI Agent Memory](/oracle-devrel/oracle-ai-developer-hub/how-to-use-mcp-model-context-protocol-with-oracle-ai-agent-memory)

Learn 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!

- Tags: how-to-guide
- Published: 2026-05-10

### [How to Build Agentic RAG with Chain of Thought Reasoning Using Oracle AI Database](/oracle-devrel/oracle-ai-developer-hub/how-to-build-agentic-rag-with-chain-of-thought-reasoning-using-oracle-ai-database)

Build 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.

- Tags: how-to-guide
- Published: 2026-05-10

### [What Is Select AI in Oracle 26ai? Natural Language Database Queries Explained](/oracle-devrel/oracle-ai-developer-hub/what-is-select-ai-in-oracle-26ai-and-how-does-it-enable-natural-language-database-queries)

Explore Select AI in Oracle 26ai, a powerful LLM that transforms English questions into SQL for natural language database queries, keeping data processing local.

- Tags: deep-dive
- Published: 2026-05-10

### [How to Implement Context Engineering Techniques for Memory-Augmented Agents: A Complete Guide](/oracle-devrel/oracle-ai-developer-hub/how-to-implement-context-engineering-techniques-for-memory-augmented-agents)

Master context engineering for memory-augmented agents. Dynamically assemble relevant context from specialized memory stores to prevent token overflow and enhance agent performance. Learn how now.

- Tags: how-to-guide
- Published: 2026-05-10

### [Benchmarking Metrics for OAMP vs Naive Flat-History Memory: A Technical Comparison](/oracle-devrel/oracle-ai-developer-hub/what-benchmarking-metrics-are-used-to-compare-oamp-vs-naive-flat-history-memory)

Discover OAMP vs naive flat-history memory benchmarks. Learn key metrics like token consumption, latency, and response quality for optimized AI performance.

- Tags: deep-dive
- Published: 2026-05-10

### [How to Implement Automatic Fact Extraction and Entity Tracking in Agent Memory](/oracle-devrel/oracle-ai-developer-hub/how-to-implement-automatic-fact-extraction-and-entity-tracking-in-agent-memory)

Implement automatic fact extraction and entity tracking in agent memory with Oracle AI Developer Hubs MemoryManager. Learn how LLMs populate vector stores for semantic retrieval.

- Tags: how-to-guide
- Published: 2026-05-10

### [How Oracle AI Database Serves as a Unified Memory Core for AI Agents](/oracle-devrel/oracle-ai-developer-hub/how-does-oracle-ai-database-act-as-a-unified-memory-core-for-ai-agents)

Discover how Oracle AI Database unifies vector embeddings, chat history, and more into one ACID-compliant engine. Learn how the MemoryManager queries all agent memory layers with a single connection.

- Tags: architecture
- Published: 2026-05-10

### [What Are the Six Types of Persistent Memory for AI Agents and How to Implement Them](/oracle-devrel/oracle-ai-developer-hub/what-are-the-six-types-of-persistent-memory-for-ai-agents-and-how-to-implement-them)

Explore six types of persistent memory for AI agents including working, episodic, semantic, procedural, graph, and vector. Learn implementation with Spring AI and Oracle Database 23ai.

- Tags: deep-dive
- Published: 2026-05-10

### [How to Integrate OCI Generative AI with Oracle Database for Production AI Applications](/oracle-devrel/oracle-ai-developer-hub/how-to-integrate-oci-generative-ai-with-oracle-database-for-production-ai-applications)

Easily integrate OCI Generative AI with Oracle Database for production AI apps. Deploy a proxy, store embeddings with AI Database 26ai, and query hybrid vector indexes for RAG.

- Tags: how-to-guide
- Published: 2026-05-10

### [Cognitive Architectures for Agent Reasoning in Oracle AI Developer Hub: CoT, ToT, and ReAct Explained](/oracle-devrel/oracle-ai-developer-hub/what-cognitive-architectures-cot-tot-react-are-supported-for-agent-reasoning)

Explore cognitive architectures like CoT, ToT, and ReAct in Oracle AI Developer Hub. Enhance agent reasoning with these powerful strategies selectable at runtime.

- Tags: deep-dive
- Published: 2026-05-10

### [How to Build a Multi-Agent RAG System Using LangChain and Oracle AI Database](/oracle-devrel/oracle-ai-developer-hub/how-to-build-a-multi-agent-rag-system-using-langchain-and-oracle-ai-database)

Build a multi-agent RAG system with LangChain and Oracle AI Database. Use OraDBVectorStore, OracleSession, and RagEnsemble for powerful, ACID-compliant retrieval, memory, and agent coordination.

- Tags: how-to-guide
- Published: 2026-05-10

### [Filesystem vs Database Agent Memory Architectures: Key Differences Explained](/oracle-devrel/oracle-ai-developer-hub/what-are-the-differences-between-filesystem-and-database-based-agent-memory-architectures)

Explore filesystem vs database agent memory architectures. Understand latency, ACID compliance, semantic search, and scalability trade-offs for your AI applications.

- Tags: deep-dive
- Published: 2026-05-10

### [How to Implement Agent Memory Using Oracle AI Database with the oracleagentmemory Package](/oracle-devrel/oracle-ai-developer-hub/how-to-implement-agent-memory-using-oracle-ai-database-with-the-oracleagentmemory-package)

Learn how to implement agent memory with Oracle AI Database using the oracleagentmemory package. Transform your database into a powerful, ACID compliant memory store for AI agents with native vector capabilities.

- Tags: how-to-guide
- Published: 2026-05-10

### [What Are JSON Duality Views in Oracle 26ai and How Do They Simplify AI Development?](/oracle-devrel/oracle-ai-developer-hub/what-are-json-duality-views-in-oracle-26ai-and-how-do-they-simplify-ai-application-development)

Discover JSON Duality Views in Oracle 26ai. Access relational data as JSON for AI apps without duplication, ensuring ACID compliance and simplifying LLM integration.

- Tags: deep-dive
- Published: 2026-05-10

### [How Oracle AI Database Handles Vector Search and Hybrid Search in a Single SQL Query](/oracle-devrel/oracle-ai-developer-hub/how-does-oracle-ai-database-handle-vector-search-and-hybrid-search-in-a-single-sql-query)

Oracle AI Database enables vector and hybrid search in a single SQL query using DBMS_HYBRID_VECTOR.SEARCH. Learn how to combine modalities efficiently.

- Tags: deep-dive
- Published: 2026-05-10