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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New ODP.NET Releases for AI Agent Development and AI Skills

Oracle Developers

Introducing the Oracle AI Database Vector Store Connector, Oracle .NET AI Skills, and new Deep Data Security features Key Takeaways * ODP.NET 26ai (23.26.3) and the Oracle AI Database Vector Store Co...

Context Assembly for Multi-Tenant Agent Memory: Budgets, Selection, and Tool Calls with MCP

Oracle Developers

Context assembly builds the agent’s prompt from memory under versioned rules, and it records every rendered memory the model saw. Companion notebook: Context Assembly This article was originally writ...

Your AI Agent wants your data, part 2

Oracle Developers

How to build it, from minimal MCP server to an official one This article was originally written and published by Nacho Martinez on blogs.oracle.com on 9 October. In Part 1, we opened up oraviz-mcp, a ...

Image-Aware AI Agent Memory: From Visual Inputs to Searchable Context

Oracle Developers

Oracle AI Agent Memory 26.8 expands persistent agent memory beyond text, making visual context part of the memory layer for enterprise agents. Applications can store images as durable document records...

Your AI Agent wants your data

Oracle Developers

How to let it query business data through MCPs safely Companion notebook: Oraviz-MCP This article was originally written and published by Nacho Martinez on blogs.oracle.com on 30 September. Key takea...

Building the enterprise brain: what changes when agent memory belongs to a company

Oracle Developers

This article was originally written and published by Casius Lee on blogs.oracle.com on 6 October. You built a second brain over a long weekend. An Obsidian vault, a few hundred notes, an AI agent on t...

We Doubled the RAM. Why Were Our OKE Pods Still Failing?

Oracle Developers

A manual OKE investigation following the OCI OKE Troubleshooter’s published approach. We recommended more CPU and memory for a Kubernetes node pool. The team doubled the memory. Another dashboard war...

Graph-Aware Retrieval for Oracle AI Agent Memory: Linking Memories Across Time

Oracle Developers

How memory links help long-running agents understand what changed Companion notebook: Graph-Aware Retrieval for AI Agent Memory Key takeaways * Graph-aware retrieval helps Oracle AI agent memory under...

Using Jev and Oracle AI Database to govern agent memory

Oracle Developers

Using System One models and Oracle AI Database to help agents choose relevant evidence and decide what to retain in long-term memory. The companion notebook runs every example in this article against...

Oracle and DeepLearning.AI Launch Agent Memory Course for AI Developers

Oracle Developers

A free short course takes AI developers and engineers beyond prompt and context engineering to memory engineering, using Oracle AI Database as the agent memory core Agent Memory: Building Memory-Awar...

Oracle AI Database 26ai Connectivity with python-oracledb: Using Amazon S3 and AWS Secrets Manager

Oracle Developers

Centralize Oracle AI Database 26ai connection settings in Amazon S3 and AWS Secrets Manager, then connect with python-oracledb 26.0.0 using a single DSN, with no credentials in your code. Key Takeawa...

What’s New in Oracle AI Agent Memory: Graph-Aware Retrieval, Image Memory, and Enterprise Controls

Oracle Developers

In this release, the memory lifecycle becomes more explicit: memories can be created, connected, updated, superseded, retrieved, and governed over time. Oracle AI Agent Memory is moving from durable r...