Technology
Knowledge Graph
A Knowledge Graph (KG) is a semantic network: it models real-world entities (nodes) and their relationships (edges) to provide context and structure for machine reasoning.
Knowledge Graphs structure data as interconnected entities (nodes) and explicit relationships (edges), shifting data organization from 'strings to things' (Neo4j). This graph-based model enables systems to understand context, not just keywords. Major applications include Google’s Knowledge Graph (over 500 million objects) for enhanced search results and enterprise use cases like AI-powered recommendation engines (Netflix) and financial crime prevention (KYC/AML). KGs integrate disparate datasets, providing a unified, explainable knowledge base critical for advanced AI and data analytics.
What builders pair with Knowledge Graph
Projects using both technologies. Select a pairing to see a project.
12 more pairings
Pairing: RAG
Enhancing AI with RAG - Techniques to improve accuracy
Pairing: GraphRAG
Graph RAG: Combining the power of vectors and graphs for better retrieval
Pairing: LangChain
Talking to a huge product catalog in plain English using LLMs
Pairing: Agentic AI
CopilotBuilder - Democratizing Generative AI agent creation for every organization
Pairing: AI agents
Vital AI Agent Ecosystem + Chat.ai
Pairing: alBERT
Enhancing AI with RAG - Techniques to improve accuracy
Recent Talks & Demos
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