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: langchain4j
Exploring Helidon AI: trace the recipe assistant with OpenTelemetry and Jaeger
Key Takeaways In the first article in this follow-on series, the Helidon Eats app learned how to answer a recipe question with OpenAI, LangChain4j, Oracle AI Database vector search, and the same recipe data from the published Helidon Eats demo. … Continue reading
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Tagged ai, Helidon, jaeger, langchain4j, memory, observability, opentelemetry, oracle, trace, vector
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Exploring Helidon AI: add a recipe assistant to Helidon Eats
Key Takeaways In the previous Helidon Eats article, the application was already in a good place for an AI feature. The recipe data was normalized, the API was small, and Oracle AI Database was already doing useful work with JSON … 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
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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
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