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.
Letting Jenkins Call OCI Without an API Key
How Jenkins running outside Oracle Cloud Infrastructure (OCI) can exchange short-lived OIDC build tokens for OCI credentials without storing a permanent OCI API signing key. Key Takeaways * An externa...
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Building an agent harness that survives production
This article was originally written and published by Casius Lee on blogs.oracle.com on 3 September. Put an agent on your refunds queue. It reads the ticket, finds the order, checks the policy, issues ...
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Develop A2UI and MCP Apps with Oracle AI Database and the Java MCP Toolkit running in Google Gemini…
Develop A2UI and MCP Apps with Oracle AI Database and the Java MCP Toolkit running in Google Gemini Enterprise App, ChatGPT, and Claude Together, Java MCP Toolkit for backend tools, A2A for agent-to-...
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Featured From Stock Reels to Semantic Search: My First Practical Journey with Oracle Select AI
How a practical content-analysis pipeline uses Oracle AI Database 26ai, Oracle Select AI, vector search, semantic search, and RAG to move from keyword matching to meaning-based exploration Key Takeawa...
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Build a Controlled Cursor MCP Workflow with Oracle AI Database
Giving an AI assistant database access is easy. Making that access controlled, inspectable, and repeatable is the hard part. Here is the Cursor CLI and Oracle AI Database workflow that does it. Compa...
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Introducing langchain-oracledb: Build AI workflows in TypeScript with LangChain.js
Introducing langchain-oracledb: Build AI workflows in TypeScript with LangChain.js and Oracle AI Database Use LangChain.js with Oracle AI Database 26ai vector search to build AI applications in TypeS...
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Oracle Releases New Thin Go Driver For Oracle AI Database
Develop Oracle AI Database applications and agents using Go without CGO or an Oracle Client installation, with Oracle’s new thin, pure Go driver. Oracle AI Database Driver for Go, published as go-ora...
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We just launched a new course on how to Build Adaptive AI Agents
Our new short course with DeepLearning.AI, Building Adaptive AI Agents, is live today. It covers continual and adaptive learning: the different ways in which you can make an agent better over time, a...
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OracleDB Python Connections to Autonomous Database: Thick vs. Thin Mode Explained
Pick the wrong python-oracledb connection mode and you’ll spend an afternoon debugging a wallet error that has nothing to do with your code — here’s how to pick right the first time. Key Takeaways * ...
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What we learned about letting agents into a production database
This article was originally written and published by Casius Lee on blogs.oracle.com on 21 August. Oracle is bringing its agent memory and Model Context Protocol work to AGNTCon + MCPCon Europe, includ...
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How to Build a REST API for an AI Application
Build a REST API for an AI application that stays reliable when inference is slow, retried, or connected to real data. Use a thin FastAPI layer to validate and authenticate requests, create a durable...
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Connect to Oracle AI Database from Power BI Service without using a Data Gateway
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...
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