•1 min read•from InfoQ
Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs
Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical architectural patterns: context bundling, decision provenance, code as truth, and agent visibility. She demonstrates an engineering harness built on a knowledge graph to streamline feedback loops, optimize token usage, and maintain system reliability.
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Tagged with
#Knowledge Graphs
#Agentic AI
#RAG (Retrieval-Augmented Generation)
#Architectural Patterns
#Context Bundling
#Decision Provenance
#Code as Truth
#Agent Visibility
#Engineering Harness
#Feedback Loops
#Token Usage
#System Reliability
#Production-Ready Systems
#AI Systems
#Reasoning
#Retrieval
#Architecture
#Optimization
#Streamline
#Patterns