Oracle Developers

The referenced documents provide insights into various aspects of Python programming, AI applications, data augmentation for machine learning, and the use of Python scripts in different contexts. They delve into topics such as the speed of Python, short-term memory in AI applications, and the challenges of enterprise RAG implementations. The documents also touch on the importance of understanding and utilizing Big Data effectively, especially in the context of generative AI. Overall, they offer valuable information for developers looking to enhance their Python skills, explore AI applications, and optimize their machine learning models.

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Connect to Oracle AI Database from Power BI Service without using a Data Gateway

Oracle Developers

Microsoft Fabric now includes a built-in Oracle driver to enable direct connections Key Takeaways * Microsoft Fabric now includes a built-in Oracle driver, enabling direct connections to Oracle AI Da...

How to Build a Controlled MCP Workflow for Codex and Oracle AI Database

Oracle Developers

Connect Codex CLI to Oracle AI Database through SQLcl MCP, then Add Oracle AI agent memory and LangChain Retrieval. Companion notebook: Codex MCP Oracle AI Database Key Takeaways * MCP turns AI-to-dat...

Kubernetes Is Fast. Your Database Clones Should Be Too.

Oracle Developers

For cloud-native applications that need real persistence, ExaDB-XS thin clones help developers stand up production-like Oracle PDB environments on Kubernetes without paying the full-copy database tax...

Hybrid Search for Oracle AI Agent Memory: Combining Semantic Recall with Exact Match

Oracle Developers

Use Oracle AI Agent Memory hybrid search when persistent AI agent memory needs both semantic similarity and exact text precision. Companion Notebook: Hybrid Search for Oracle AI Agent Memory: Combini...

Custom Memory Extraction for AI Agents: Turning Conversations into Useful Facts

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Learn how Oracle AI Agent Memory uses custom extraction instructions, thread-level overrides, and tool-result metadata to turn support conversations into durable, scoped memory. Companion notebook: cu...

Persistent Memory and Derived Context: A Two-Layer Pattern for Agents

Oracle Developers

Why mixing source-of-truth with retrieval optimizations is how AI agent memory systems start lying to you Companion notebook: https://github.com/oracle-devrel/oracle-ai-developer-hub/blob/main/notebo...

Vector Search for AI Memory: SQL, JSON Metadata, and Governance

Oracle Developers

This article was originally written and published by Rick Houlihan on blogs.oracle on 24 July. How do you combine SQL, JSON, vector search, and metadata for AI memory? Put each capability where the me...

One Database for the Whole LangChain Ecosystem: Memory, Persistence, and Deep Agents on Oracle AI…

Oracle Developers

One Database for the Whole LangChain Ecosystem: Memory, Persistence, and Deep Agents on Oracle AI Database Retrieval, memory, persistence, and a bring-your-own-model deep-agents harness for LangChain...

Build a Self-Improving Second Brain on Oracle AI Database

Oracle Developers

A step-by-step build: your own second brain for everything you’ve made. Searchable by meaning, plugged into any AI chat you use through MCP, with self-improving agents built on top. The data, its emb...

End-to-End Agentic AI Observability: Tracing from Agents INTO the Oracle AI Database

Oracle Developers

Build one continuous trace across a Spring Boot agent workload, Oracle JDBC, and Oracle AI Database server-side execution. All source code, configuration, scripts, and supporting docs for the demo ar...

Develop Database-Enforced End-User Auth with Oracle AI Database Deep Data Security and Java

Oracle Developers

A practical Spring Boot walkthrough for propagating Microsoft Entra identity through a pooled JDBC connection, then letting Oracle AI Database enforce row, column, and cell-level access rules. All so...

OBaaS 2.1.0: What Actually Changes for the Developer Building the Service

Oracle Developers

The value isn’t a new thing to learn — it’s a list of things you no longer have to invent yourself. Oracle Backend for Microservices and AI (OBaaS) is a deployable platform for Kubernetes — a set of ...