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: agent
Bringing OCI Generative AI into a Java Agent with Embabel
Key Takeaways I was lucky enough to see a presentation from Rod Johnson at a meetup in New York recently. Rod is the creator of Spring, and his new project, Embabel, is fascinating. It’s a different kind of take on … Continue reading
Four kinds of agent memory in Java with LangChain4j and Oracle AI Database
Key Takeaways In the first article, we gave a Java agent durable semantic memory: selected facts stored in Oracle AI Database and retrieved by meaning through LangChain4j. That is a useful starting point, but most agents need more … Continue reading
Posted in Uncategorized
Tagged agent, ai, episodic, graph, langchain4j, oracle, procedural, semantic
Leave a comment
Give a Java agent durable memory with LangChain4j and Oracle AI Database
Key Takeaways I like agent memory demos that make one thing obvious: where did the memory actually go? A lot of examples keep memory in a list, a chat window, or a local object. That is fine for learning how … Continue reading
Add real business actions to your Spring AI app with Oracle (part 3 of 4)
By the end of Episode 2, the assistant could answer policy questions from Oracle Vector Store and remember conversations across requests. That combination already felt more like a real application than a bare LLM wrapper. But it still could not … Continue reading
Add persistent chat memory to your Spring AI chatbot with Oracle (part 2 of 4)
The first version of this application could already answer support questions against real policy data. Oracle Vector Store was retrieving the right documents before generation, and the responses were grounded in what was actually in the database rather than in … Continue reading
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
You must be logged in to post a comment.