SPIN Unprocessed July 1, 2026 ai_technology technology
Presentation: Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs
View original on infoq.comSummary
Cassie Shum discusses the architectural evolution of GraphRAG and why data foundations are critical for advanced AI workflows. She explains how traditional vector RAG falls short when addressing global context, multi-hop reasoning, and provenance. She shares enterprise strategies for building semantically structured knowledge graphs that shift raw orchestrating logic down to the data layer. By Cassie Shum
SpinGraph analysis pending — check back after processing.
Ask AI about this story
See how AI engines summarize this narrative — one click, prompt included.
More from InfoQ AI / ML / Data Engineering
View all →- Cloudflare Details Unified Data Platform Where Billing Workloads Account for 53% of Queries
- Hardwood Promises High-Speed JVM Apache Parquet Processing with Zero Mandatory Dependencies
- Presentation: Fine Tuning the Enterprise: Reinforcement Learning in Practice
- Grab Builds Secure Agentic AI Workload Platform
- Cloudflare Ships Agent Skills for Zero Trust Deployment and Migration
- Dapr 1.18 Introduces Verifiable Execution, Bringing Cryptographic Trust to AI Agents and Workflows
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO