Taxonomies in Oracle Content and Experience – Part I

In March release (19.1.5), Oracle Content and Experience (OCE) added support for managing controlled vocabulary organized into a hierarchical structure…

GraphRAG Part 4 – Community Detection and Embedding, Search and Hybrid Retrieval Integration

Part 4 explores new advanced features introduced in GraphRAG by enabling community detection and community-based GLOBAL search, which allows system…

GraphRAG Part 3 – Intelligent MVR, Query Routing and Context Generation

Part 3 explores three advanced capabilities that transformed query processing and context generation in the GraphRAG system. First, we introduced…

GraphRAG Part 2 – Cross-Doc & Sub-graph Extraction, Multi-Vector Entity Representation

Part 2: A deep dive into implementation of cross-documents semantic relations extraction, multi-hop graph traversal queries, and multi-vector (entities, relations,…

Building a GraphRAG System – Core Infrastructure & Document Ingestion

Part 1: A deep dive into multi-database architecture, AI-powered entity extraction, and intelligent document processing Introduction Traditional RAG systems rely…

Beyond Vector Search: How GraphRAG Enables Smarter AI Responses

Imagine asking your AI assistant: “Who manages the person leading our AI research project?” A traditional RAG system would struggle…

Workflow and Agentic Flow Patterns: Choosing the Right Approach

Part 4: From Workflows to Autonomous Agents – A Pattern-Based Decision Framework In Parts 1-3 of this series, we explored…

The Shifting Landscape of Software Development Roles in the AI Era

I can see a paradox in the software development industry. A rigorous 2025 study found that when developers use AI-tools,…

The Hybrid Approach: Bridging Traditional and Agentic Workflows

Part 3: BPMN Meets AI Agents – The Pragmatic Path to Intelligent Automation In Part 2, we explored how agentic…

RAG at Scale: How Westlaw and LexisNexis Are Redefining Legal Research

Years ago, I had the opportunity to work with LexisNexis on building “LexisNexis™ Portal powered by Plumtree” – an enterprise…

RAG at Scale: The Hidden Trade-Offs of Single Vector Embedding

Balancing performance and precision in enterprise search and data retrieval A common pattern for improving the quality of AI-assisted content…