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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.
ODP.NET SQL Scripting and the Deep Data Security End-User Security Context Provider
ODP.NET 23.26.4 brings production ready SQL scripting, stronger application security, updated monitoring, and cleaner pooled sessions Key Takeaways * .NET applications can now run Oracle SQL and PL/S...
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Run Oracle SQL Scripts in .NET
ODP.NET script execution is designed for safer, automated Oracle database updates across cloud and AI workflows Key takeaways * The preview feature runs multiple SQL and PL/SQL statements directly fr...
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Continuous Data Movement in Oracle Autonomous AI Database with Data Pipelines
Load new files from object storage into tables, and export tables or query results back to object storage in full or incrementally, all on a database-managed schedule. Includes runnable SQL for both ...
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Building a Canary Release Pipeline with OCI DevOps (Part I)
Part I: Build a private Python API foundation on OCI Key Takeaways * Build a private Python API foundation using FastAPI, OCI Kubernetes Engine, Terraform, and OCI DevOps. * Track the serving release...
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Building a Canary Release Pipeline with OCI DevOps (Part II)
Part II: Release a Python API through an OCI DevOps canary Key Takeaways * Build a commit-triggered release pipeline with OCI DevOps: test, package, publish artifacts, and deploy a canary to private ...
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Event-Driven Configuration Refresh for Oracle AI Database 26ai with python-oracledb, Amazon S3, and…
Event-Driven Configuration Refresh for Oracle AI Database 26ai with python-oracledb, Amazon S3, and AWS Secrets Manager With python-oracledb 26.1.0, your applications can pick up connection configura...
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Change-Aware Configuration Caching for Oracle AI Database 26ai with python-oracledb and Google…
Change-Aware Configuration Caching for Oracle AI Database 26ai with python-oracledb and Google Cloud Starting with python-oracledb 26.1.0, your applications can pick up configuration changes in Googl...
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Building a Document Knowledge Base with Oracle APEX and Oracle AI Vector Search
A document knowledge base with Oracle APEX, Oracle AI Database, AI Vector Search, and RAG By Kailas Jawadekar A collection of documents can hold valuable knowledge while still being difficult to use....
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Stop Making AI Guess Your Database: Oracle SQLcl MCP Server, Agent Memory, and Oracle AI Database
A developer guide to controlled Oracle AI Database workflows with the Oracle SQLcl MCP server, Codex, Cursor, Antigravity, Claude, and Oracle AI Agent Memory. Companion articles and notebooks: * Codex...
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New ODP.NET Releases for AI Agent Development and AI Skills
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...
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Context Assembly for Multi-Tenant Agent Memory: Budgets, Selection, and Tool Calls with MCP
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...
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Your AI Agent wants your data, part 2
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 ...
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