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
Author Archives: Mark Nelson
When GraphRAG Is Worth It: Travel Disruption Retrieval with Oracle AI Database 26ai
A delayed flight question is a useful stress test for RAG. Policy text alone is not enough; the assistant also needs itinerary facts, timing rules, airport relationships, route alternatives, and an evidence path. In this episode, we use a travel-disruption GraphRAG demo with Oracle AI Database 26ai to compare plain document RAG, hybrid vector-plus-relational retrieval, and graph-aware retrieval. Continue reading
Posted in PODCAST
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How to Build a GraphRAG Travel Assistant with Oracle AI Database 26ai
Grounded AI applications are hard to trust when the evidence is split across similar text, structured rows, and relationships. Flight disruption questions are a good example: a delayed traveler needs timing math, airport relationships, route alternatives, policy language, and a … Continue reading
Posted in Uncategorized
Tagged ai, graphrag, oracle, property-graph, python, vector-search
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From GraphRAG Demo to Enterprise AI System with Oracle AI Database 26ai
Key Takeaways A useful AI answer needs more than similar text A support engineer asks what sounds like a straightforward question: Which maintenance policy applies to ACME’s pump 17 after the seal failure? A vector search workflow may get close. … Continue reading
Oracle Connection Pooling in Spring Boot: When to Use HikariCP and When to Use UCP
Key Takeaways Why Connection Pooling Becomes a Production Problem A Spring Boot application can look perfectly healthy on your laptop and still run into trouble as soon as real traffic arrives. At first, the symptoms are easy to misread. A … Continue reading
A Tale of Two Agents: Why we can’t go past CrewAI
Key Takeaways It was the best of agents, it was the worst of agents… it is, after all, the age of agents… I have been working with agentic AI in earnest over the last several weeks. I started … Continue reading
Helidon and Spring Boot, Working Together in One Microservices System
Key Takeaways I have been working with a microservices application that includes both Helidon and Spring Boot services. That mix is not unusual. Real systems accumulate useful services over time. Different teams choose different frameworks for good reasons. Some services … Continue reading
Posted in Uncategorized
Tagged api-gateway, apisix, authentication, authorization, eureka, Helidon, interoperability, jwt, openid, oracle, service-registry, Spring, spring-boot
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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
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
Posted in Uncategorized
Tagged ai, Helidon, jaeger, langchain4j, memory, observability, opentelemetry, oracle, trace, vector
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Exploring Helidon AI: give the recipe assistant memory
Key Takeaways In the last article, the Helidon Eats application learned how to answer a recipe question. The route embedded the question with OpenAI, searched recipe chunks in Oracle AI Database, built a grounded prompt, and called OpenAI through LangChain4j. … Continue reading
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
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