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: vector
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
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
Leave a comment
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
Implementing GraphRAG with Oracle AI Database 26ai: SQL Property Graphs, Vector Search, and Automated Graph Extraction
Key Takeaways Standard vector Retrieval-Augmented Generation, or RAG, retrieves chunks that are semantically similar to a question. That works well when the answer appears in a compact passage whose wording is close to the question. It becomes harder to inspect … 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.