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: oracle
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
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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
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
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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
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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
From GraphRAG Demo to AI System: Build a Minimum Viable Knowledge Graph with Oracle AI Database 26ai
Key Takeaways In the first article, we built the mechanics of GraphRAG with Oracle AI Database 26ai. We parsed documents, created chunks, extracted entities and relationships, stored embeddings in VECTOR columns, defined a SQL property graph, and compared … Continue reading
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Tagged graph, graphrag, hybrid-query, ontology, oracle, taxonomy
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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
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Tagged agent, ai, episodic, graph, langchain4j, oracle, procedural, semantic
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