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: graphrag
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
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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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
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