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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Blue Green Deployment of OCI Container Instances — Part 1

Oracle Developers

Blue-Green Deployment using OCI Container Instances — Part 1 Deploying dual environments (blue/green) with OCI Resource Manager and OCI Load Balancer Photo by iuliu illes on Unsplash Key Takeaways 1....

Agent Memory: Why Your AI Has Amnesia and How to Fix It

Oracle Developers

Key Takeaways * Today’s AI agents forget everything between conversations. Every interaction starts from zero, with no recall of who you are or what you’ve discussed before. * Agent memory isn’t abou...

Create an Agent That Generates Agent Spec: Turning Business Requirements into Open Agent Spec…

Oracle Developers

Create an Agent That Generates Agent Spec: Turning Business Requirements into Open Agent Spec Configs Translating plain English into portable agent and workflow configurations for WayFlow or LangGrap...

New in Oracle 26ai Autonomous - Change Data Capture with LogMiner

Oracle Developers

Expanding the Features of ADB Serverless Photo by Vimal S on Unsplash Key Takeaways * Oracle Autonomous Database 26ai (Dec 26, 2025) adds LogMiner-based CDC to ADB Serverless, completing the platform...

Data Is Context: Building Agent Harness with Oracle AI Database at the Center

Oracle Developers

Build reliable AI agents with a database‑centric harness for context, retrieval, and governance Key Takeaways * An agent harness is the execution and control layer that makes LLM agents safe, repeata...

Private & Secure access of Container Registry using PSA from On-premises or OCI

Oracle Developers

Private Access to OCI Container Registry (OCIR) using PSA — No Public IPs, No Code Changes Step‑by‑step: PSA + Private DNS + on‑prem resolver Key Takeaways * You can make OCI Container Registry acces...

LangChain vs. DIY: Vector Search with Oracle AI Database

Oracle Developers

Comparing two different vector search implementations using Python and Oracle AI Database Key Takeaways * We compare two ways to run vector search on Oracle AI Database with Python: using LangChain v...

Fine-tuning RAG Applications with Spring AI and Oracle AI Vector Search

Oracle Developers

A Practical Guide to OracleVectorStore Optimizations RAG Apps — Spring AI + OracleVectorStore by Juarez Junior Key Takeaways * In this article, we build a Retrieval-Augmented Generation (RAG) app wit...

Comparing File Systems and Databases for Effective AI Agent Memory Management

Oracle Developers

Filesystem vs Database for Agent Memory AI Agent Memory A Practical Guide to Choosing the Right Memory Substrate for Your AI Agents Key Takeaways: * Don’t conflate interface with substrate. Filesystem...

Don’t Force OIC to Lift The Heaviest Loads: Orchestrate Them on Oracle Kubernetes Engine Securely

Oracle Developers

Securely Orchestrating Heavy Workloads with Oracle Integration and OKE Photo by Sajad Nori on Unsplash Key Takeaways * Use OIC as the control plane and OKE as the data plane to handle heavy workloads...

How to Manage and Analyze Large Volumes of Location Data in Oracle AI Database

Oracle Developers

Working with massive location datasets in Oracle Spatial and Oracle AI Database What does this blog cover? * Loading 100+ Parquet geospatial data files directly into Oracle via external tables * Impl...

The Great AI Context Debate: Why “Filesystem vs Database” Is the Wrong Question

Oracle Developers

A nuanced look at tiered memory and hybrid AI infrastructure, and why the pendulum needs to stop swinging Filesystem (working memory) vs. database (long-term structured memory): a side-by-side tradeo...