Knowledge Graphs for AI
Bridging the gap between organisational data, implicit organisational reasoning, and AI reasoning with Knowledge Graphs purpose-built for AI.
Dual Approaches to Building Knowledge Graphs: Traditional Techniques or LLMs
Knowledge graphs are powerful tools for representing relationships between entities in a structured format. They are widely used in various…
Exploring RAG and GraphRAG: Understanding when and how to use both | Weaviate
Learn when and how to use GraphRAG and how it can improve on some search tasks
What Is GraphRAG?
GraphRAG is a powerful retrieval mechanism that improves Generative AI applications by taking advantage of the rich context in graph data structures.
Jérémy Ravenel on LinkedIn: What are the key ontology standards you should have in mind? Ontology… | 100 comments
What are the key ontology standards you should have in mind?
Ontology standards are crucial for knowledge representation and reasoning in AI and data… | 100 comments on LinkedIn
GraphRAG Field Guide: Navigating the World of Advanced RAG Patterns
Explore advanced GraphRAG retrieval patterns and how graph structures enhance RAG systems. Learn actionable strategies to implement and optimize GraphRAG.
The GraphRAG Manifesto: Adding Knowledge to GenAI - Graph Database & Analytics
Discover why GraphRAG will subsume vector-only RAG and emerge as the default RAG architecture for most use cases.