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LangChain vs. DIY: Vector Search with Oracle AI Database
When do you use a framework vs. write your own implementation – especially when it comes…
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Data Is Context: Building Agent Harness with Database at the Center
Long-running agents often fail because they lack disciplined, accurate context. This is especially important when tasks…
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Filesystem vs. Database for Agent Memory
Agents need persistent, searchable memory across tasks, and filesystems have emerged as the dominant storage/access layer.…
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Natural Language SQL with Oracle MCP and LangChain4j
Want to build agentic applications with MCP integrations in Java? Sure! Just use Langchain4j. In this…
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AI Optimizer & Toolkit: test and generate apps
In this article, we’ll explore automated testing with the Oracle AI Optimizer & Toolkit, and then…
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AI Optimizer & Toolkit: connect LLMs and use your data
In this article, we’ll configure the Oracle AI Optimizer and Toolkit with an LLM, enable embedding…
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AI Optimizer & Toolkit: set up a local sandbox
The Oracle AI Optimizer and Toolkit is a free and open-source tool designed to make it…
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Let’s talk about Model Context Protocol (MCP)
First, let’s talk about LLVM, the modular and reusable compiler toolchain: With LLVM as a compiler…
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Run SQLcl as a MCP Server with Oracle Database Free
Model Context Protocol (MCP) is an open-source protocol that exposes data, tools, or services via a…
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What’s a Vector Database?
Vector databases provide new ways to store and query unstructured data by enabling powerful, AI-driven search…