Assorted links for Friday, Febuary 21:
- How to Store a Knowledge Graph in a Database
A knowledge graph represents information as a set of nodes and the relationships between those nodes.
When your source data consists of assets like technical documentation, research publications, or highly interconnected websites, a knowledge graph returns better results than a simple vector search. That’s because a knowledge graph search can traverse links between nodes, finding semantically relevant results two or more steps away from the first node.
- AI Agents Are About to Blow Up the Business Process Layer
Agentic AI is all about autonomy (think self-driving cars), employing a system of agents to constantly adapt to dynamic environments and independently create, execute and optimize results.
When agentic AI is applied to business process workflows, it can replace fragile, static business processes with dynamic, context-aware automation systems.
- Storing, querying and keeping embeddings updated: options and best practices
- Database and AI: solutions for keeping embeddings updated
- Using a Database Trigger
- Using Change Tracking
- Using an Azure Function Sql Trigger binding
- Using Azure Logic Apps
- Using Change Data Capture
- Using the new Change Event Stream
- Introducing Change Event Streaming: Join the Azure SQL Database Private Preview for Change Data Streaming