Tag Archives: llm

Custom vector distance functions in Oracle (using JavaScript)

Posted on October 20, 2025 by Mark Nelson

In case you missed it, Oracle Database 26ai was announced last week at Oracle AI World, with a heap of new AI features and capabilities like hybrid vector search, MCP server support, acceleration with NVIDIA and much more – check … Continue reading →

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Let’s make a simple MCP tool for Oracle AI Vector Search

Posted on October 8, 2025 by Mark Nelson

In this earlier post, we created a vector store in our Oracle Database 23ai and populated it with some content from Moby Dick. Since MCP is very popular these days, I thought it might be interesting to look how to … Continue reading →

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Basic Retrieval Augmented Generation with Oracle Vector Store in LangChain

Posted on May 23, 2025 by Mark Nelson

In this earlier post, we learned how to create a Vector Store in Oracle from LangChain, the hugely popular Python library for working with Generative AI and Large Language Models. We populated it with a little data and then performed … Continue reading →

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Getting started with Oracle Vector Store support in LangChain

Posted on May 16, 2025 by Mark Nelson

In this post, I would like to show you the basics of how to use the Oracle Vector Store support in LangChain. I am using Visual Studio Code with the Python and Jupyter extensions from Microsoft installed. I will show … Continue reading →

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