Our other publications
Building a Custom BPM Worklist, Oracle InSync 2011 User Group presentation
Performance Tuning for Oracle Business Process Management Suite 10g, Oracle Whitepaper, July 2011
Performance Tuning for Oracle Business Process Management Suite 11g, Oracle Whitepaper, February 2013
Oracle BPM Suite 11g: Advanced BPMN Topics, Packt Publishing, September 2012
Fusion Middleware 12.1.2: Developing Applications with Continuous Integration
Fusion Middleware 12.1.3: Developing Applications with Continuous Integration
Tag Archives: ai
Exploring Oracle’s new AI Agent Memory Python Library with OpenAI
Hi everyone! In this post, I want to show you a small but useful demo application that uses Oracle AI Agent Memory from Python. The complete code for this example is in the agent-memory repository. You can learn more about … Continue reading
Building a Simple Spatial Web App with the New Spring Boot Starter for the Spatial Features in Oracle AI Database 26ai
Hi everyone! In this post, I will show how to run the new Spring Boot starter for the Spatial features in Oracle AI Database 26ai by using the sample application and connecting it to a simple web application front end. … Continue reading
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Tagged 26ai, ai, GeoJSON, oracle, oracle23ai, Spatial, Spring, sql, technology
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Exploring some new Helidon features – Data Repositories and SE Declarative
With Helidon 4.4.0 right around the corner, I’ve been spending some time playing with the latest milestone release (4.4.0-M2). If you haven’t been following along, Helidon 4 was a major milestone because it was the first framework built from the … Continue reading
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Tagged 26ai, ai, coding, Data, Declarative, duality, Helidon, Injection, IoC, Java, JSON, oracle, repository, SE, technology
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Custom vector distance functions in Oracle (using JavaScript)
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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Tagged ai, artificial-intelligence, jaccard, javascript, llm, mle, oracle, rag, technology, vector-search
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Let’s make a simple MCP tool for Oracle AI Vector Search
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
Exploring securing vector similarity searches with Real Application Security
In this post, I want to explore how you can use Real Application Security to provide access controls for vectors in a vector store in Oracle Database 23ai. I’m going to use the vector store we created in the last … Continue reading
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Tagged ai, artificial-intelligence, rag, ras, security, technology
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Basic Retrieval Augmented Generation with Oracle Vector Store in LangChain
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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Tagged ai, artificial-intelligence, langchain, llm, python, rag, technology
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Getting started with Oracle Vector Store support in LangChain
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
Posted in Uncategorized
Tagged ai, artificial-intelligence, langchain, llm, oracle, rag, semantic-search, vector-store
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